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Title: GitHub - T-Rex939/Deep-Reinforcement-Learning-With-Python: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Open Graph Title: GitHub - T-Rex939/Deep-Reinforcement-Learning-With-Python: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

X Title: GitHub - T-Rex939/Deep-Reinforcement-Learning-With-Python: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Description: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math - T-Rex939/Deep-Reinforcement-Learning-With-Python

Open Graph Description: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math - T-Rex939/Deep-Reinforcement-Learning-With-Python

X Description: Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math - T-Rex939/Deep-Reinforcement-Learning-With-Python

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01. Fundamentals of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/01.%20Fundamentals%20of%20Reinforcement%20Learning
01. Fundamentals of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/01.%20Fundamentals%20of%20Reinforcement%20Learning
02. A Guide to the Gym Toolkithttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/02.%20A%20Guide%20to%20the%20Gym%20Toolkit
02. A Guide to the Gym Toolkithttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/02.%20A%20Guide%20to%20the%20Gym%20Toolkit
03. Bellman Equation and Dynamic Programminghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/03.%20Bellman%20Equation%20and%20Dynamic%20Programming
03. Bellman Equation and Dynamic Programminghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/03.%20Bellman%20Equation%20and%20Dynamic%20Programming
04. Monte Carlo Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/04.%20Monte%20Carlo%20Methods
04. Monte Carlo Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/04.%20Monte%20Carlo%20Methods
05. Understanding Temporal Difference Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/05.%20Understanding%20Temporal%20Difference%20Learning
05. Understanding Temporal Difference Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/05.%20Understanding%20Temporal%20Difference%20Learning
06. Case Study: The MAB Problemhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/06.%20Case%20Study%3A%20The%20MAB%20Problem
06. Case Study: The MAB Problemhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/06.%20Case%20Study%3A%20The%20MAB%20Problem
07. Deep learning foundationshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/07.%20Deep%20learning%20foundations
07. Deep learning foundationshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/07.%20Deep%20learning%20foundations
08. A primer on TensorFlowhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/08.%20A%20primer%20on%20TensorFlow
08. A primer on TensorFlowhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/08.%20A%20primer%20on%20TensorFlow
09. Deep Q Network and its Variantshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/09.%20%20Deep%20Q%20Network%20and%20its%20Variants
09. Deep Q Network and its Variantshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/09.%20%20Deep%20Q%20Network%20and%20its%20Variants
10. Policy Gradient Methodhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/10.%20Policy%20Gradient%20Method
10. Policy Gradient Methodhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/10.%20Policy%20Gradient%20Method
11. Actor Critic Methods - A2C and A3Chttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/11.%20Actor%20Critic%20Methods%20-%20A2C%20and%20A3C
11. Actor Critic Methods - A2C and A3Chttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/11.%20Actor%20Critic%20Methods%20-%20A2C%20and%20A3C
12. Learning DDPG, TD3 and SAChttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/12.%20Learning%20DDPG%2C%20TD3%20and%20SAC
12. Learning DDPG, TD3 and SAChttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/12.%20Learning%20DDPG%2C%20TD3%20and%20SAC
13. TRPO, PPO and ACKTR Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/13.%20TRPO%2C%20PPO%20and%20ACKTR%20Methods
13. TRPO, PPO and ACKTR Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/13.%20TRPO%2C%20PPO%20and%20ACKTR%20Methods
14. Distributional Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/14.%20Distributional%20Reinforcement%20Learning
14. Distributional Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/14.%20Distributional%20Reinforcement%20Learning
15. Imitation Learning and Inverse RLhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/15.%20Imitation%20Learning%20and%20Inverse%20RL
15. Imitation Learning and Inverse RLhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/15.%20Imitation%20Learning%20and%20Inverse%20RL
16. Deep Reinforcement Learning with Stable Baselineshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines
16. Deep Reinforcement Learning with Stable Baselineshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines
17. Reinforcement Learning Frontiershttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/17.%20Reinforcement%20Learning%20Frontiers
17. Reinforcement Learning Frontiershttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/tree/master/17.%20Reinforcement%20Learning%20Frontiers
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Deep Reinforcement Learning With Pythonhttps://www.amazon.com/dp/1839210680/ref=cm_sw_r_tw_dp_x_avRDFb99EVTQ
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1. Fundamentals of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#1-fundamentals-of-reinforcement-learning
1.1. Key Elements of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.01.%20Key%20Elements%20of%20Reinforcement%20Learning%20.ipynb
1.2. Basic Idea of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.02.%20Basic%20Idea%20of%20Reinforcement%20Learning.ipynb
1.3. Reinforcement Learning Algorithmhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.03.%20Reinforcement%20Learning%20Algorithm.ipynb
1.4. RL Agent in the Grid Worldhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.04.%20RL%20agent%20in%20the%20Grid%20World%20.ipynb
1.5. How RL differs from other ML paradigms?https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.05.%20How%20RL%20differs%20from%20other%20ML%20paradigms%3F.ipynb
1.6. Markov Decision Processeshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.06.%20Markov%20Decision%20Processes.ipynb
1.7. Action Space, Policy, Episode and Horizonhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.07.%20Action%20space%2C%20Policy%2C%20Episode%20and%20Horizon.ipynb
1.8. Return, Discount Factor and Math Essentialshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.08.%20%20Return%2C%20Discount%20Factor%20and%20Math%20Essentials.ipynb
1.9. Value Function and Q Functionhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.09%20Value%20function%20and%20Q%20function.ipynb
1.10. Model-Based and Model-Free Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.10.%20Model-Based%20and%20Model-Free%20Learning%20.ipynb
1.11. Different Types of Environmentshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.11.%20Different%20Types%20of%20Environments.ipynb
1.12. Applications of Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.12.%20Applications%20of%20Reinforcement%20Learning.ipynb
1.13. Reinforcement Learning Glossaryhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/01.%20Fundamentals%20of%20Reinforcement%20Learning/1.13.%20Reinforcement%20Learning%20Glossary.ipynb
2. A Guide to the Gym Toolkithttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/02.%20A%20Guide%20to%20the%20Gym%20Toolkit
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#2-a-guide-to-the-gym-toolkit
2.2. Creating our First Gym Environmenthttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/02.%20A%20Guide%20to%20the%20Gym%20Toolkit/2.02.%20%20Creating%20our%20First%20Gym%20Environment.ipynb
2.5. Cart Pole Balancing with Random Policyhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/02.%20A%20Guide%20to%20the%20Gym%20Toolkit/2.05.%20Cart%20Pole%20Balancing%20with%20Random%20Policy.ipynb
3. Bellman Equation and Dynamic Programminghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/03.%20Bellman%20Equation%20and%20Dynamic%20Programming
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#3-bellman-equation-and-dynamic-programming
3.6. Solving the Frozen Lake Problem with Value Iterationhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/03.%20Bellman%20Equation%20and%20Dynamic%20Programming/3.06.%20Solving%20the%20Frozen%20Lake%20Problem%20with%20Value%20Iteration.ipynb
3.8. Solving the Frozen Lake Problem with Policy Iterationhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/03.%20Bellman%20Equation%20and%20Dynamic%20Programming/3.08.%20Solving%20the%20Frozen%20Lake%20Problem%20with%20Policy%20Iteration.ipynb
4. Monte Carlo Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/04.%20Monte%20Carlo%20Methods
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#4-monte-carlo-methods
4.13. Implementing On-Policy MC Controlhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/04.%20Monte%20Carlo%20Methods/4.13.%20Implementing%20On-Policy%20MC%20Control.ipynb
5. Understanding Temporal Difference Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/05.%20Understanding%20Temporal%20Difference%20Learning
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#5-understanding-temporal-difference-learning
5.3. Predicting the Value of States in a Frozen Lake Environmenthttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/05.%20Understanding%20Temporal%20Difference%20Learning/5.03.%20Predicting%20the%20Value%20of%20States%20in%20a%20Frozen%20Lake%20Environment.ipynb
5.6. Computing Optimal Policy using SARSAhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/05.%20Understanding%20Temporal%20Difference%20Learning/5.06.%20Computing%20Optimal%20Policy%20using%20SARSA.ipynb
5.8. Computing the Optimal Policy using Q Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/05.%20Understanding%20Temporal%20Difference%20Learning/5.08.%20Computing%20the%20Optimal%20Policy%20using%20Q%20Learning.ipynb
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#6-case-study-the-mab-problem
7. Deep Learning Foundationshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/07.%20Deep%20learning%20foundations
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#7-deep-learning-foundations
7.5. Building neural network from scratchhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/07.%20Deep%20learning%20foundations/7.05%20Building%20Neural%20Network%20from%20scratch.ipynb
8. Getting to Know TensorFlowhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/08.%20A%20primer%20on%20TensorFlow
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#8-getting-to-know-tensorflow
8.5. Handwritten digits classification using Tensorflowhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/08.%20A%20primer%20on%20TensorFlow/8.05%20Handwritten%20digits%20classification%20using%20TensorFlow.ipynb
8.8. Math operations in TensorFlowhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/08.%20A%20primer%20on%20TensorFlow/8.08%20Math%20operations%20in%20TensorFlow.ipynb
8.10. MNIST digits classification in Tensorflow 2.0https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/08.%20A%20primer%20on%20TensorFlow/8.10%20MNIST%20digits%20classification%20in%20TensorFlow%202.0.ipynb
9. Deep Q Network and its Variantshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/09.%20%20Deep%20Q%20Network%20and%20its%20Variants
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#9-deep-q-network-and-its-variants
9.3. Playing Atari Games using DQNhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/09.%20%20Deep%20Q%20Network%20and%20its%20Variants/9.03.%20Playing%20Atari%20Games%20using%20DQN.ipynb
10. Policy Gradient Methodhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/10.%20Policy%20Gradient%20Method
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#10-policy-gradient-method
10.7. Cart Pole Balancing with Policy Gradienthttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/10.%20Policy%20Gradient%20Method/10.07.%20Cart%20Pole%20Balancing%20with%20Policy%20Gradient.ipynb
11. Actor Critic Methods - A2C and A3Chttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/11.%20Actor%20Critic%20Methods%20-%20A2C%20and%20A3C
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#11-actor-critic-methods---a2c-and-a3c
11.5. Mountain Car Climbing using A3Chttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/11.%20Actor%20Critic%20Methods%20-%20A2C%20and%20A3C/11.05.%20Mountain%20Car%20Climbing%20using%20A3C.ipynb
12. Learning DDPG, TD3 and SAChttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/12.%20Learning%20DDPG%2C%20TD3%20and%20SAC
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#12-learning-ddpg-td3-and-sac
12.5. Swinging Up the Pendulum using DDPGhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/12.%20Learning%20DDPG%2C%20TD3%20and%20SAC/12.02.%20Swinging%20Up%20the%20Pendulum%20using%20DDPG%20.ipynb
13. TRPO, PPO and ACKTR Methodshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/13.%20TRPO%2C%20PPO%20and%20ACKTR%20Methods
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#13-trpo-ppo-and-acktr-methods
13.9. Implementing PPO-Clipped Methodhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/13.%20TRPO%2C%20PPO%20and%20ACKTR%20Methods/13.09.%20Implementing%20PPO-Clipped%20Method.ipynb
14. Distributional Reinforcement Learninghttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/14.%20Distributional%20Reinforcement%20Learning
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#14-distributional-reinforcement-learning
14.3. Playing Atari games using Categorical DQNhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/14.%20Distributional%20Reinforcement%20Learning/14.03.%20Playing%20Atari%20games%20using%20Categorical%20DQN.ipynb
15. Imitation Learning and Inverse RLhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/15.%20Imitation%20Learning%20and%20Inverse%20RL
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#15-imitation-learning-and-inverse-rl
16. Deep Reinforcement Learning with Stable Baselineshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#16-deep-reinforcement-learning-with-stable-baselines
16.1. Creating our First Agent with Baselinehttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.01.%20Creating%20our%20First%20Agent%20with%20Stable%20Baseline.ipynb
16.4. Playing Atari Games with DQNhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.04.%20Playing%20Atari%20games%20with%20DQN%20and%20its%20variants.ipynb
16.5. Implememt DQN variantshttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.05.%20Implementing%20DQN%20variants.ipynb
16.6. Lunar Lander using A2Chttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.06.%20Lunar%20Lander%20using%20A2C.ipynb
16.7. Creating a custom networkhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.07.%20Creating%20a%20custom%20network.ipynb
16.8. Swinging up a Pendulum using DDPGhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.08.%20Swinging%20up%20a%20pendulum%20using%20DDPG.ipynb
16.9. Training an Agent to Walk using TRPOhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.09.%20Training%20an%20agent%20to%20walk%20using%20TRPO.ipynb
16.10. Training Cheetah Bot to Run using PPOhttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/16.%20Deep%20Reinforcement%20Learning%20with%20Stable%20Baselines/16.10.%20Training%20cheetah%20bot%20to%20run%20using%20PPO.ipynb
17. Reinforcement Learning Frontiershttps://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python/blob/master/17.%20Reinforcement%20Learning%20Frontiers
https://patch-diff.githubusercontent.com/T-Rex939/Deep-Reinforcement-Learning-With-Python#17-reinforcement-learning-frontiers
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