RL algo implementations from David Silver's lectures and Reinforcement learning - an Introduction book by Richard S. Sutton and Andrew G. Barto. Collection of existing implementation repositories of some advanced algorithms like DQN, A3C, DDPG, PPO, TRPO.
The algorithms implemented are as follows:
- Markov Decision Process Evaluation, Improvement, Iteration using Dynamic Programming
- Q learning
- First visit Monte Carlo
- Monte Carlo Prediction
- Monte Carlo control epsilon greedy Policy
- Off Policy Monte Carlo with Weighted Importance Sampling
- SARSA
- DDPG
Links to Other Algorithms implementations
A project
More References
- Denny Britz, reinforcement-learning
- OPenAI Gym