Welcome to Spinning Up in Deep RL!¶
User Documentation
Introduction to RL
Resources
- Spinning Up as a Deep RL Researcher
- Key Papers in Deep RL
- 1. Model-Free RL
- 2. Exploration
- 3. Transfer and Multitask RL
- 4. Hierarchy
- 5. Memory
- 6. Model-Based RL
- 7. Meta-RL
- 8. Scaling RL
- 9. RL in the Real World
- 10. Safety
- 11. Imitation Learning and Inverse Reinforcement Learning
- 12. Reproducibility, Analysis, and Critique
- 13. Bonus: Classic Papers in RL Theory or Review
- Exercises
- Benchmarks for Spinning Up Implementations
Algorithms Docs
Utilities Docs