reinforcement learning -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - Reinforcement Learning AI Flight with Unity ML-Agents

04 [v1.0 & v0.11] Asset Creation in Blender/038 Low-Poly Airplane_ Propeller.mp4 145.0 MB
07 [v1.0 & v0.11] Desert Race Path Creation/052 [v1.0] Airplane Prefab.mp4 132.4 MB
03 [v1.0] Unity ML-Agents - Introduction & Setup/018 Training 3D Ball Example.mp4 118.2 MB
11 [v1.0] Aircraft Agent & Aircraft Player/107 AircraftPlayer.cs_ Follow Camera, DecisionRequester, & Test Flight.mp4 106.9 MB
07 [v1.0 & v0.11] Desert Race Path Creation/055 Placing Rocks in the Desert Environment.mp4 103.5 MB
10 [v0.11] Aircraft Agent & Aircraft Player/085 AirplanePlayer Prefab, Input Bindings, & Aircraft Academy.mp4 102.0 MB
11 [v1.0] Aircraft Agent & Aircraft Player/118 AircraftAgent_ Behavior Parameters, AircraftAgent, & Explosion.mp4 101.1 MB
04 [v1.0 & v0.11] Asset Creation in Blender/025 Low-Poly Rocks_ Tall & Flat Rocks.mp4 100.9 MB
07 [v1.0 & v0.11] Desert Race Path Creation/059 Boundaries.mp4 100.6 MB
07 [v1.0 & v0.11] Desert Race Path Creation/057 Race Path.mp4 99.0 MB
04 [v1.0 & v0.11] Asset Creation in Blender/032 Low-Poly Airplane_ Body (Part 1).mp4 98.6 MB
07 [v1.0 & v0.11] Desert Race Path Creation/051 [v0.11] Airplane Prefab.mp4 96.0 MB
13 [v1.0] Training the Aircraft Agents/142 Race Your ML-Agents.mp4 94.3 MB
14 [v1.0 & v0.11] Game Logic & Menus/182 Adding Water, Rocks, & Updating the Race Path.mp4 92.1 MB
14 [v1.0 & v0.11] Game Logic & Menus/168 HUDController.cs_ UI Update Functions.mp4 91.3 MB
14 [v1.0 & v0.11] Game Logic & Menus/160 RaceManager.cs_ FixedUpdate().mp4 83.5 MB
12 [v0.11] Training the Aircraft Agents/129 Curriculum_ AircraftLearning.json.mp4 83.2 MB
04 [v1.0 & v0.11] Asset Creation in Blender/035 Low-Poly Airplane_ Wings.mp4 82.9 MB
12 [v0.11] Training the Aircraft Agents/123 Create Learning Agents.mp4 82.6 MB
04 [v1.0 & v0.11] Asset Creation in Blender/023 Low-Poly Terrain_ Sculpt the Racetrack.mp4 82.5 MB

[磁力链接] 添加时间:2021-06-19 大小:8.6 GB 最近下载:2025-10-01 热度:3502

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB

[磁力链接] 添加时间:2022-02-26 大小:7.9 GB 最近下载:2025-10-01 热度:4422

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB

[磁力链接] 添加时间:2024-01-22 大小:7.9 GB 最近下载:2025-07-11 热度:1258

Deep Reinforcement Learning 2.0

Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 185.2 MB
Deep Reinforcement Learning 2.0/4. The Final Demo!/1. Demo - Training.mp4 184.1 MB
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 173.1 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 15.mp4 170.3 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 18.mp4 154.1 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 2.mp4 148.0 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 1.mp4 146.0 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 4.mp4 144.5 MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 143.8 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 19.mp4 138.0 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 3.mp4 134.1 MB
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 130.8 MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
Deep Reinforcement Learning 2.0/4. The Final Demo!/2. Demo - Inference.mp4 125.3 MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/4. Experience Replay.mp4 120.7 MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn.mp4 117.6 MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 115.3 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 16.mp4 111.3 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 5.mp4 109.8 MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 6.mp4 105.3 MB

[磁力链接] 添加时间:2022-01-14 大小:5.1 GB 最近下载:2025-08-20 热度:481

Reinforcement Learning Specialization

[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 152.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/05_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/01_the-k-armed-bandit-problem/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/05_chapter-summary_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/06_chapter-summary_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/01_welcome-to-the-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/01_introduction-to-monte-carlo-methods/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/04_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/01_introduction-to-markov-decision-processes/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/01_episodic-sarsa-with-function-approximation/02_weekly-reading-on-policy-control-with-approximation_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/04_off-policy-learning-for-prediction/06_chapter-summary_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/01_introduction-to-temporal-difference-learning/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/01_policies-and-value-functions/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/01_td-for-control/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/03_constructing-features-for-prediction/01_feature-construction-for-linear-methods/02_weekly-reading-on-policy-prediction-with-approximation-ii_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/05_policy-gradient/01_learning-parameterized-policies/02_weekly-reading-policy-gradient-methods_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/05_chapter-summary_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/01_what-is-a-model/02_weekly-reading_RLbook2018.pdf 89.4 MB
[TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/02_weekly-reading_RLbook2018.pdf 89.4 MB

[磁力链接] 添加时间:2024-02-01 大小:5.0 GB 最近下载:2025-10-01 热度:5576

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0- The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG.zip

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0- The smartest combination of Deep Q-Learning, Policy Gradient, Actor Critic, and DDPG.zip 4.9 GB

[磁力链接] 添加时间:2021-05-02 大小:4.9 GB 最近下载:2025-09-29 热度:1443

Artificial Intelligence Reinforcement Learning in Python

[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/1. Welcome/5. Warmup.mp4 65.6 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
[TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-02-02 大小:4.5 GB 最近下载:2025-10-01 热度:6164

Udemy - Artificial Intelligence Reinforcement Learning in Python (12.2024)

11 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.4 MB
4 - Markov Decision Proccesses/11 -Bellman Examples.mp4 91.3 MB
10 - Stock Trading Project with Reinforcement Learning/1 -Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8 - Approximation Methods/7 -Approximation Methods for Control Code.mp4 81.5 MB
2 - Return of the Multi-Armed Bandit/16 -Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5 - Dynamic Programming/5 -Iterative Policy Evaluation in Code.mp4 71.8 MB
10 - Stock Trading Project with Reinforcement Learning/7 -Code pt 2.mp4 68.5 MB
6 - Monte Carlo/5 -Monte Carlo Control in Code.mp4 67.5 MB
1 - Welcome/5 -Warmup.mp4 65.6 MB
8 - Approximation Methods/5 -Approximation Methods for Prediction Code.mp4 65.3 MB
4 - Markov Decision Proccesses/5 -Markov Decision Processes (MDPs).mp4 64.7 MB
5 - Dynamic Programming/2 -Iterative Policy Evaluation.mp4 63.7 MB
5 - Dynamic Programming/10 -Policy Iteration in Code.mp4 59.1 MB
4 - Markov Decision Proccesses/12 -Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2 - Return of the Multi-Armed Bandit/15 -Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2 - Return of the Multi-Armed Bandit/12 -UCB1 Theory.mp4 58.2 MB
3 - High Level Overview of Reinforcement Learning/1 -What is Reinforcement Learning.mp4 57.3 MB
4 - Markov Decision Proccesses/2 -Gridworld.mp4 56.6 MB
10 - Stock Trading Project with Reinforcement Learning/9 -Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2025-07-05 大小:4.5 GB 最近下载:2025-10-02 热度:205

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-03-29 大小:4.4 GB 最近下载:2025-09-23 热度:1956

[FreeCourseSite.com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-01-20 大小:4.4 GB 最近下载:2025-09-29 热度:1761

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-01-31 大小:4.4 GB 最近下载:2025-08-17 热度:448

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0

~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 281.6 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2.mp4 212.0 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4.mp4 204.3 MB
~Get Your Files Here !/4. The Final Demo!/1. Demo - Training.mp4 196.3 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15.mp4 188.3 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18.mp4 163.8 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3.mp4 142.6 MB
~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 142.6 MB
~Get Your Files Here !/4. The Final Demo!/2. Demo - Inference.mp4 130.4 MB
~Get Your Files Here !/1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6.mp4 111.3 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19.mp4 103.5 MB
~Get Your Files Here !/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 95.8 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8.mp4 88.0 MB
~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 86.7 MB
~Get Your Files Here !/1. Part 1 - Fundamentals/2. Q-Learning.mp4 85.4 MB
~Get Your Files Here !/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 84.8 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17.mp4 82.9 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16.mp4 81.9 MB
~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1.mp4 79.9 MB

[磁力链接] 添加时间:2022-03-12 大小:4.2 GB 最近下载:2025-10-02 热度:2344

[Tutorialsplanet.NET] Udemy - Advanced AI Deep Reinforcement Learning in Python

6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.srt 246.0 MB
6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.srt 245.1 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.srt 195.4 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.srt 193.3 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.srt 97.9 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.srt 91.2 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.srt 88.6 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.srt 85.4 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB

[磁力链接] 添加时间:2021-04-20 大小:3.8 GB 最近下载:2024-03-18 热度:71

Reinforcement Learning with Python Explained for Beginners

[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/10. Q-Learning Implementation for MAPROVER Clipped.mp4 125.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/12. Project Frozenlake (Open AI Gym)/2. Frozenlake Implementation.mp4 117.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/8. Solving MDP/9. Value Iteration Solution.mp4 86.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 75.8 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/3. RL vs Other ML Frameworks.mp4 62.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/9. Value Approximation/6. Monte-Carlo Learning Example.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/9. Non Stationary Environment.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/7. What is Reward.mp4 61.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/6. Limitations of Reinforcement Learning.mp4 55.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/3. Setup 3.mp4 54.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/10. Summary.mp4 52.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/5. Markov Decision Process Prerequisites/16. Modeling Uncertainity of Environment Value Functions.mp4 51.5 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/8. Stochastic Environment 3.mp4 51.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/9. Q-Learning.mp4 50.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/6. Stochastic Environment.mp4 49.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/4. Policy Comparison.mp4 48.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/2. Learning Rate.mp4 48.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/5. State Belongs to Environment and not to Agent.mp4 46.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/5. Deterministic Environment.mp4 46.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/2. What is Environment_2.mp4 45.8 MB

[磁力链接] 添加时间:2021-04-11 大小:3.6 GB 最近下载:2025-09-30 热度:3400

[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-04-05 大小:3.5 GB 最近下载:2025-10-01 热度:2368

GetFreeCourses.Me-Udemy-Cutting-Edge AI Deep Reinforcement Learning in Python

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-03-09 大小:3.5 GB 最近下载:2025-10-02 热度:2403

[DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-03-08 大小:3.5 GB 最近下载:2025-09-29 热度:1812

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip 3.5 GB

[磁力链接] 添加时间:2021-03-29 大小:3.5 GB 最近下载:2025-10-01 热度:421

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
11/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

[磁力链接] 添加时间:2021-04-10 大小:3.4 GB 最近下载:2024-05-26 热度:61

[ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip

[ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip 3.4 GB

[磁力链接] 添加时间:2022-02-13 大小:3.4 GB 最近下载:2025-10-01 热度:773