https://github.com/prakhar-ff13/reinforcement-learning-with-python

Reinforcement Learning Notebooks
https://github.com/prakhar-ff13/reinforcement-learning-with-python

actor-critic cross-entropy-method deep-learning deep-q-learning deep-reinforcement-learning machine-learning markov-decision-processes monte-carlo policy-evaluation policy-gradient policy-iteration reinforcement-learning temporal-differencing-learning value-iteration

Last synced: 3 months ago
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Reinforcement Learning Notebooks

• Host: GitHub
• URL: https://github.com/prakhar-ff13/reinforcement-learning-with-python
• Owner: Prakhar-FF13
• Created: 2019-03-28T15:00:25.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-31T10:02:39.000Z (about 6 years ago)
• Last Synced: 2025-01-28T17:28:53.483Z (5 months ago)
• Topics: actor-critic, cross-entropy-method, deep-learning, deep-q-learning, deep-reinforcement-learning, machine-learning, markov-decision-processes, monte-carlo, policy-evaluation, policy-gradient, policy-iteration, reinforcement-learning, temporal-differencing-learning, value-iteration
• Language: Python
• Homepage: https://www.packt.com
• Size: 115 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.MD

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README

        
# Reinforcement Learning:

The repository includes RL and DRL NoteBooks. The algorithms implemented:

1. Random Search.

2. Hill Climbing.

3. MDP.

4. Monte Carlo.

5. Temporal Difference Methods.

6. Cross-Entropy.

7. Deep Q-Learning.

8. Actor-Critic; (Advantage and Asynchronous).

9. Policy Gradient Methods

Codes/Notebooks from Deep Reinforcement Learning Book for Packt and Practical Reinforcement Learning.