https://github.com/soheil-mp/reinforcement-learning-algorithms

Step by Step Reinforcement Learning Tutorials.
https://github.com/soheil-mp/reinforcement-learning-algorithms

alphazero ddpg deep-q-learning deep-q-network discretization dqn dynamic-programming finance markov-decision-processes monte-carlo policy-based-method reinforce reinforcement-learning temporal-difference

Last synced: 24 days ago
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Step by Step Reinforcement Learning Tutorials.

• Host: GitHub
• URL: https://github.com/soheil-mp/reinforcement-learning-algorithms
• Owner: soheil-mp
• License: mit
• Created: 2019-05-27T11:30:34.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-19T07:36:40.000Z (about 2 years ago)
• Last Synced: 2024-12-09T09:58:01.918Z (24 days ago)
• Topics: alphazero, ddpg, deep-q-learning, deep-q-network, discretization, dqn, dynamic-programming, finance, markov-decision-processes, monte-carlo, policy-based-method, reinforce, reinforcement-learning, temporal-difference
• Language: Jupyter Notebook
• Homepage:
• Size: 18.4 MB
• Stars: 11
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Reinforcement Learning Tutorials

Complete step by step reinforcement learning tutorials. Below you can find the the exact topics we are going to learn:

1. Dynamic Programming

2. Monte Carlo

3. Temporal Difference (TD)

4. Convert Continuous Space to Discrete Space

5. Deep Q-Network

6. Policy-Based Methods

7. REINFORCE- Cartpole

8. REINFORCE and PPO - Pong

9. DDPG - Pendulum

10. DDPG - Bipedal

11. Deep RL for Finance - 1

12. Deep RL for Finance - 2

13. AlphaZero - Tic Tak Toe