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