Completed
- Timestep Handling
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Classroom Contents
What Matters in On-Policy Reinforcement Learning? A Large-Scale Empirical Study
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- 1 - Intro & Overview
- 2 - Parameterized Agents
- 3 - Unified Online RL and Parameter Choices
- 4 - Policy Loss
- 5 - Network Architecture
- 6 - Initial Policy
- 7 - Normalization & Clipping
- 8 - Advantage Estimation
- 9 - Training Setup
- 10 - Timestep Handling
- 11 - Optimizers
- 12 - Regularization
- 13 - Conclusion & Comments
