1. Dynamic Programming (Update : 13. 2. 2019)

1. Conditional GAN

2. Policy Iteration & Value Iteration

2. Value Based Methods (Update : 17. 2. 2019)

1. Vanilla DQN

2. PDD DQN

3. Policy Based Methods (Update : 23. 2. 2019)

1. A2C

2. PPO

4. Off-policy Policy Based Methods (Update : 10. 3. 2019)

1. SAC

2. SIL ( not with A2C, PPO but SAC)

5. Exploration Techniques (Update : 16. 3. 2019)

1. Thompson sampling with MCDO
2. RND

Breakout with only intrinsic rewards

6. Uncertainty in RL (Update : 24. 3. 2019)

1. Categorical DQN(C51)
2. QR-DQN
3. Implicit Quantile Networks

7. Imitation Learning (Update : 30. 3. 2019)

1. GAIL

8. Multi-Agent RL (Update : 4. 4. 2019)

1. Upper Confidence Bounds for Tree(UCT)
2. Counterfactual Hedge