Reinforcement Learning Notebook

Math Notes

• Multivariant Normal Distribuation
• KL Divergence
• Entropy
• Hinge Loss
• Pooled Variance/Scale new data

Algorithms

• Generalized Advantage Estimation
• Trust Region Policy Optimization
• Deep Q-Network
• Deep Deterministic Policy Gradient
• Multi-Goal Reinforcement Learning
• Proximal Policy Optimization