| OVERVIEW of methods and papers | |
| RL Introduction | |
| Imitation Learning | |
| Multi-Task Learning | |
| Actor Critic Algorithms | |
| Deep RL with Q functions | |
| Optimal Control & Planning | |
| Model-Based RL: Learning the Model | |
| Model-Based RL: Improving Policies | |
| Deep Exploration | |
| Exploration without Rewards | |
| Offline Reinforcement Learning (overview) | |
| Offline Reinforcement Learning (Theory heavy) | |
| Control as Inference ⭐ | |
| Reward Learning | |
| Inverse Reinforcement Learning | |
| Meta-RL | |
| Reset-Free RL | |
| Skill Discovery | |
| Deep RL on Real Robots | |