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[FreeCoursesOnline.Me] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0
Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4
50.7 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4
40.4 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4
36.3 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4
34.8 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4
34.1 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4
34.1 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4
31.9 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4
31.8 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4
30.7 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4
30.1 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4
29.7 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif
29.7 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4
28.9 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4
28.4 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4
28.2 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4
27.9 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif
27.8 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4
27.8 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4
26.9 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4
26.3 MB
[磁力链接]
添加时间:
2021-03-07
大小:
2.5 GB
最近下载:
2025-08-11
热度:
1613
[ CourseLala.com ] Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement
~Get Your Files Here !/29. Naive Bayes example clustering news.mp4
94.8 MB
~Get Your Files Here !/09. Linear regression implementation I.mp4
91.4 MB
~Get Your Files Here !/59. Boosting implementation II wine classification.mp4
80.4 MB
~Get Your Files Here !/27. What is text clustering.mp4
78.8 MB
~Get Your Files Here !/14. Logistic regression example II credit scoring.mp4
69.7 MB
~Get Your Files Here !/66. K means clustering text clustering.mp4
69.0 MB
~Get Your Files Here !/53. Random forests example III OCR parameter tuning.mp4
66.2 MB
~Get Your Files Here !/22. K nearest neighbor implementation II.mp4
52.7 MB
~Get Your Files Here !/62. Principal component analysis example.mp4
52.4 MB
~Get Your Files Here !/34. Support vector machine example I simple.mp4
50.2 MB
~Get Your Files Here !/13. Logistic regression example I sigmoid function.mp4
49.6 MB
~Get Your Files Here !/24. What is the naive Bayes classifier.mp4
49.2 MB
~Get Your Files Here !/71. 008 Hierarchical clustering market segmentation.mp4
48.8 MB
~Get Your Files Here !/63. Principal component analysis example II.mp4
48.6 MB
~Get Your Files Here !/57. Boosting introduction final formula.mp4
48.1 MB
~Get Your Files Here !/07. Linear regression theory optimization.mp4
46.5 MB
~Get Your Files Here !/37. Support vector machine example IV digit recognition.mp4
44.9 MB
~Get Your Files Here !/68. DBSCAN example.mp4
44.4 MB
~Get Your Files Here !/36. Support vector machines example III parameter tuning.mp4
43.6 MB
~Get Your Files Here !/41. Decision trees introduction entropy.mp4
42.5 MB
[磁力链接]
添加时间:
2024-01-19
大小:
2.5 GB
最近下载:
2025-10-02
热度:
1559
Udacity - Deep Reinforcement Learning Nanodegree
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4
50.7 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4
40.4 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4
36.3 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4
34.8 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4
34.1 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4
34.1 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4
31.9 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4
31.8 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4
30.7 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4
30.1 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4
29.7 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif
29.7 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4
28.9 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4
28.4 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4
28.2 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4
27.9 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif
27.8 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4
27.8 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4
26.9 MB
Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0/Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4
26.3 MB
[磁力链接]
添加时间:
2022-01-25
大小:
2.5 GB
最近下载:
2025-08-19
热度:
1538
[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python
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.mp4
245.0 MB
9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4
195.2 MB
7. A3C/5. A3C - Code pt 4.mp4
193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4
110.4 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.mp4
97.9 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.mp4
88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
85.4 MB
10. 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
1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4
81.6 MB
7. A3C/1. A3C - Theory and Outline.mp4
75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4
70.3 MB
7. A3C/3. A3C - Code pt 2.mp4
60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4
53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4
52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4
52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4
50.5 MB
[磁力链接]
添加时间:
2021-03-20
大小:
3.2 GB
最近下载:
2025-09-23
热度:
1508
Coursera - Machine Learning and Reinforcement Learning in Finance Specialization 2023
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/01_black-scholes-merton-model-physics-and-reinforcement-learning/01_introduction/03_interview-with-rossen-roussev.mp4
88.4 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/03_perception-beyond-reinforcement-learning/01_lesson-1/08_the-fokker-planck-equation-and-quantum-mechanics.mp4
52.1 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/07_what-are-defaults.mp4
46.2 MB
Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/08_rl-solution-discussion-and-examples.mp4
44.8 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/04_other-applications-of-reinforcement-learning-p-2-p-lending-cryptocurrency-etc/01_lesson-1/09_the-value-of-universatility.mp4
44.0 MB
Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/05_fitted-q-iteration.mp4
41.1 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/08_quantum-equilibrium-disequilibrium.mp4
41.0 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/01_from-portfolio-optimization-to-market-model.mp4
39.8 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/03_gbm-and-its-problems.mp4
38.8 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/03_perception-beyond-reinforcement-learning/01_lesson-1/07_langevin-equation-and-fokker-planck-equations.mp4
38.1 MB
Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/08_rl-equations.mp4
37.3 MB
Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/02_introduction-to-rl-for-trading.mp4
37.3 MB
Coursera - Reinforcement Learning in Finance 2023-12/01_mdp-and-reinforcement-learning/03_discrete-time-black-scholes-model/03_bsm-model-and-risk.mp4
36.1 MB
Coursera - Reinforcement Learning in Finance 2023-12/03_mdp-model-for-option-pricing-reinforcement-learning-approach/01_mdp-rl-approach/02_batch-reinforcement-learning.mp4
34.9 MB
Coursera - Guided Tour of Machine Learning in Finance 2023-12/01_artificial-intelligence-machine-learning/01_introduction-to-the-specialization-machine-learning-and-reinforcement-learning/02_specialization-objectives.mp4
34.9 MB
Coursera - Reinforcement Learning in Finance 2023-12/04_rl-and-inverse-rl-for-portfolio-stock-trading/01_rl-for-stock-trading/09_rl-and-inverse-reinforcement-learning-solutions.mp4
34.8 MB
Coursera - Guided Tour of Machine Learning in Finance 2023-12/04_supervised-learning-in-finance/02_machine-learning-with-probabilistic-models-classification-tasks/04_logistic-regression-for-modeling-bank-failures-part-i.mp4
33.0 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/04_other-applications-of-reinforcement-learning-p-2-p-lending-cryptocurrency-etc/01_lesson-1/05_lob-modeling.mp4
32.7 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/02_reinforcement-learning-for-optimal-trading-and-market-modeling/01_lesson-1/06_the-singularity-is-near.mp4
32.4 MB
Coursera - Overview of Advanced Methods of Reinforcement Learning in Finance 2023-12/01_black-scholes-merton-model-physics-and-reinforcement-learning/03_lesson-2/01_option-trading-and-rl.mp4
32.4 MB
[磁力链接]
添加时间:
2024-07-02
大小:
3.4 GB
最近下载:
2025-09-29
热度:
1487
[GigaCourse.com] Udemy - Artificial Intelligence Reinforcement Learning in Python
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4
108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4
91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4
68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4
57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4
54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4
54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4
53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4
52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4
51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4
47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4
44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4
38.9 MB
1. Welcome/1. Introduction.mp4
35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4
35.6 MB
[磁力链接]
添加时间:
2021-04-13
大小:
2.0 GB
最近下载:
2025-09-28
热度:
1468
[ 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
[DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python
[DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python.zip
434.0 MB
[DesireCourse.Com].txt
828 Bytes
[DesireCourse.Com].url
51 Bytes
[磁力链接]
添加时间:
2021-04-28
大小:
434.0 MB
最近下载:
2025-09-30
热度:
1439
[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
[Tutorialsplanet.NET] Udemy - Advanced AI Deep Reinforcement Learning in Python
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.mp4
245.0 MB
9. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4
195.2 MB
7. A3C/5. A3C - Code pt 4.mp4
193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4
110.4 MB
7. A3C/4. A3C - Code pt 3.mp4
88.6 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
82.3 MB
10. 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. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4
81.9 MB
7. A3C/1. A3C - Theory and Outline.mp4
75.2 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4
71.0 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4
70.3 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
66.5 MB
7. A3C/3. A3C - Code pt 2.mp4
60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
60.1 MB
1. Introduction and Logistics/2. Where to get the Code.mp4
54.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4
53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4
52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4
52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4
50.5 MB
[磁力链接]
添加时间:
2022-01-21
大小:
3.0 GB
最近下载:
2025-09-10
热度:
1230
[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning in Java
6 - Pathfinding with QLearning/26 - Pathfinding with Qlearning III.mp4
115.0 MB
3 - Markov Decision Process Value Iteration/15 - Value iteration implementation IV.mp4
97.6 MB
7 - Exploration vs Exploitation Problem/32 - Narmed bandit problem implementation I.mp4
50.5 MB
3 - Markov Decision Process Value Iteration/13 - Value iteration implementation II.mp4
44.9 MB
6 - Pathfinding with QLearning/27 - Pathfinding with Qlearning IV.mp4
40.7 MB
1 - Introduction/2 - Types of learning.mp4
38.0 MB
6 - Pathfinding with QLearning/29 - Shortest path with Qlearning.mp4
37.8 MB
3 - Markov Decision Process Value Iteration/14 - Value iteration implementation III.mp4
35.8 MB
3 - Markov Decision Process Value Iteration/12 - Value iteration implementation I.mp4
35.8 MB
3 - Markov Decision Process Value Iteration/11 - What is value iteration.mp4
34.0 MB
2 - Markov Decision Process MDP Theory/4 - Markov decision processes basics I.mp4
32.0 MB
5 - Q Learning Theory/21 - Q learning illustration.mp4
29.7 MB
7 - Exploration vs Exploitation Problem/31 - Narmed bandit problem introduction.mp4
29.5 MB
6 - Pathfinding with QLearning/25 - Pathfinding with Qlearning II.mp4
26.6 MB
1 - Introduction/3 - Applications of
reinforcement learning
.mp4
24.3 MB
5 - Q Learning Theory/20 - Q learning introduction the algorithm.mp4
22.7 MB
3 - Markov Decision Process Value Iteration/16 - Value iteration implementation V.mp4
20.0 MB
6 - Pathfinding with QLearning/24 - Pathfinding with Qlearning I.mp4
19.8 MB
5 - Q Learning Theory/19 - Q learning introduction.mp4
16.9 MB
8 - Deep Reinforcement Learning Theory/35 - What is deep Q learning.mp4
13.2 MB
[磁力链接]
添加时间:
2024-03-12
大小:
815.3 MB
最近下载:
2025-10-02
热度:
1225
[FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]
05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0505.Starting Program and Gathering Results.mp4
47.5 MB
01.Deep Dive into Reinforcement Learning with DL4J RL4J/0101.The Course Overview.mp4
26.6 MB
03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4
24.6 MB
Exercise Files/exercise_files.zip
22.8 MB
02.Solving Cartpole with Markov Decision Processes (MDPs)/0205.Running Cartpole and Validating Results.mp4
21.1 MB
03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0305.Starting QLearningDiscreteDense and Saving Results.mp4
20.8 MB
01.Deep Dive into Reinforcement Learning with DL4J RL4J/0102.Main Principles of Reinforcement Learning.mp4
20.4 MB
01.Deep Dive into Reinforcement Learning with DL4J RL4J/0103.Adding DL4J with RL4J to Our Project.mp4
19.1 MB
05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4
16.1 MB
04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0403.Leveraging QLearningDiscreteDense from RL4J API.mp4
14.7 MB
03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0303.Loading Cliff Walking Simulation.mp4
14.7 MB
03.Using Project Malmo Reinforcement Learning Leveraging Dynamic Programming/0301.Adding Malmo Library to Our RL4J Project.mp4
14.4 MB
05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0504.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4
13.9 MB
02.Solving Cartpole with Markov Decision Processes (MDPs)/0204.Using GymEnv Library from RL4J to Simulate Solution.mp4
13.6 MB
01.Deep Dive into Reinforcement Learning with DL4J RL4J/0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4
13.5 MB
04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0404.Performing Stock Prediction Training and Validating Results.mp4
12.6 MB
04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0402.Creating Configuration for Stock Prediction Learning.mp4
10.7 MB
02.Solving Cartpole with Markov Decision Processes (MDPs)/0202.Leveraging Markov Chain in Our Cartpole Solution.mp4
10.5 MB
02.Solving Cartpole with Markov Decision Processes (MDPs)/0203.Using QLConfiguration to Configure Our Model.mp4
9.9 MB
05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0502.Setting Up A3C Learning Environment.mp4
9.0 MB
[磁力链接]
添加时间:
2022-01-27
大小:
383.1 MB
最近下载:
2025-08-27
热度:
1216
Udacity - Deep Reinforcement Learning Nanodegree.rar
Udacity - Deep Reinforcement Learning Nanodegree.rar
2.5 GB
[磁力链接]
添加时间:
2021-04-16
大小:
2.5 GB
最近下载:
2025-09-23
热度:
1207
GetFreeCourses.Co-Udemy-Practical Reinforcement Learning using Python - 8 AI Agents
5. Mario Reinforcement Learning Agent/11. Creating a Better Learning Environment for Agent.mp4
165.6 MB
4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4
150.1 MB
3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4
103.2 MB
5. Mario Reinforcement Learning Agent/10. Learn Function.mp4
93.4 MB
7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4
85.0 MB
4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4
82.0 MB
5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4
79.1 MB
6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4
74.4 MB
4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4
73.8 MB
3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4
71.7 MB
5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4
70.4 MB
1. Introduction/1. Introduction.mp4
69.8 MB
4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4
64.3 MB
6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4
55.8 MB
2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4
55.3 MB
6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4
54.5 MB
5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4
54.3 MB
6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4
54.1 MB
6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4
53.3 MB
2. SpaceInvaders Agent/3. Building Neural Network.mp4
53.2 MB
[磁力链接]
添加时间:
2021-05-20
大小:
2.6 GB
最近下载:
2025-09-16
热度:
1183
[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python
01 Introduction and Outline/001 Introduction and outline.mp4
10.6 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4
23.0 MB
01 Introduction and Outline/003 Where to get the Code.mp4
4.7 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4
9.9 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4
6.8 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4
2.9 MB
02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4
2.3 MB
02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4
8.4 MB
02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4
5.4 MB
02 Return of the Multi-Armed Bandit/010 UCB1.mp4
8.6 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4
16.0 MB
02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
11.1 MB
02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4
7.8 MB
03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4
6.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4
13.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4
4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4
27.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4
5.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4
4.6 MB
03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4
10.3 MB
[磁力链接]
添加时间:
2017-08-20
大小:
621.3 MB
最近下载:
2025-09-02
热度:
1093
[FreeTutorials.Us] deep-reinforcement-learning-in-python
01 Introduction and Logistics/001 Introduction and Outline.mp4
16.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4
5.4 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4
15.1 MB
02 Background Review/004 Review Intro.mp4
4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4
12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4
6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4
6.5 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4
7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4
3.8 MB
02 Background Review/010 Review of Deep Learning.mp4
11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4
9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4
10.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4
4.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4
6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4
15.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4
17.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4
14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4
3.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4
9.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4
6.1 MB
[磁力链接]
添加时间:
2017-08-18
大小:
547.6 MB
最近下载:
2025-09-15
热度:
978
[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. 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
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:
2022-01-22
大小:
3.3 GB
最近下载:
2025-08-12
热度:
972
[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4
72.5 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4
66.7 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4
66.4 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4
65.6 MB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4
57.2 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4
57.0 MB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4
52.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4
52.3 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4
52.2 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4
44.6 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4
43.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4
40.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4
40.0 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4
38.4 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4
38.2 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4
38.1 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4
36.8 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4
35.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4
34.0 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
33.9 MB
[磁力链接]
添加时间:
2024-01-06
大小:
1.7 GB
最近下载:
2025-09-30
热度:
959
[ 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
[UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python
07 Appendix/044 Environment Setup.mp4
46.0 MB
udemycoursedownloader.com.url
132 Bytes
01 Introduction and Logistics/001 Introduction and Outline.mp4
16.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4
5.4 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4
15.1 MB
02 Background Review/004 Review Intro.mp4
4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4
12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4
6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4
6.5 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4
7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4
3.8 MB
02 Background Review/010 Review of Deep Learning.mp4
11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4
9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4
10.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4
4.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4
6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4
15.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4
17.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4
14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4
3.2 MB
[磁力链接]
添加时间:
2018-11-27
大小:
547.6 MB
最近下载:
2025-05-16
热度:
687
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