Solutions to RL exercises proposed in the git repo by Denny Britz.
- Policy Evaluation
- Policy Iteration
- Value Iteration
- Monte Carlo Prediction
- On-policy Monte Carlo Control with e-greedy policy
- Off-policy Monte Carlo Control with Weighted Importance Sampling
- SARSA (On-policy TD control)
- Q-learning (Off-policy TD control)
- Q-learning with linear function approximation
- Deep Q learning
- Double Deep Q learning
- REINFORCE with baseline
- Actor-Critic with baseline
- Actor-Critic with baseline for continuous action space
- Asynchornous Advantage Actor-Critic (A3C)