CS285: Deep RL Notes
RL Fundamentals
Policy Gradient
Value Based Methods
- Policy and Value Iteration Algorithms
- DQN and beyond
Model-based Methods
- Model-based Planning and Model-based Predictive Control
- Model-based Policy Learning
Inference, Control, and Inverse RL
Transfer Learning in RL
- Transfer and Multi-task Learning
- Paper Reading Notes
Coming soon...
- Offline RL
- RL from Pixels

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Dyna and Dyna-style Algorithms
Classic Dyna
Dyna Style
Policies Simpler than Neural Nets
Distillation

Model-based Methods

Model-based Policy Learning

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Last updated 4 years ago