Topics & References

Deep Reinforcement Learning

1. Rainbow
paper

2. A2C & A3C
paper

3. PPO 
paper

4. Model-based RL & MCTS
book (especially chapter 8.1, 8.10 & 8.11)
original MCTS paper 
paper with more details

5. Alpha(Go) Zero
paper
paper 2

Safe Reinforcement Learning

6. Conservative Safety Critics for Exploration
paper

7. Constrained Policy Optimization
paper

8. Safe Reinforcement Learning via Shielding
paper

Causal Reinforcement Learning

9. Invariant Causal Prediction for Block MDP
paper

10. Causal Reinforcement Learning Using Observational and Interventional Data
paper

11. Can Humans Be Out of the Loop?
paper

Exploration Techniques

12.  Random Network Distillation
paper

13. Go-Explore
paper

 

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