Special Topics in Deep Reinforcement Learning

Deep Reinforcement Learning

1. Value-based DRL Evolution

Core: Rainbow

2. Actor-Critic: Structure & Estimation

Core: A2C/A3C

3. Policy Optimization Stabilty

Core: TRPO & PPO

4. Continuous Control in DRL

Core: DDPG & SAC

 

Planning & RL

5. FOL for goal-conditioned RL 

6. Sketch Decomposition via DRL

7. Model Aware Policy Transfer using Q-Learning

 

Exploration

8. NoveID

9. DEIR

10. Episodic Novelty Through Temporal Distance

11. Cell-Free Latent Go-Explore

 

Agentic RL

12. Group Relative Policy Optimization Algorithm

13. Tool-Integrated RL

14. Reflexion: Verbal RL

15. Multi-Agent RL