Sutton and Barto Book Implementation
a year ago
- #algorithms
- #python
- #reinforcement-learning
- Repository contains implementations of reinforcement learning algorithms from Sutton's book.
- Organized into modules covering topics like Multi-Armed Bandits, Policy Evaluation, and Temporal Difference.
- Includes model-free solvers requiring only states, actions, and a transition function.
- Example provided: Single State Infinite Variance Example 5.5.
- Monte Carlo Tree Search (MCTS) demonstrated with maze solving.
- Code is basic and not optimized; improvements are welcome.
- Useful for learning reinforcement learning from scratch.