reinforcement-learning

Reinforcement Learning

• MDPs with pymdptoolbox
• TD(λ) learning rate properties
• Widrow-Hoff rule, aka delta rule, the ADALINE, or LMS filter
• TD(λ) for bounded random walk
• Algorithmic Analysis for Value and Policy Iteration
• Natural Evolution Strategies
• Bandit based Monte-Carlo planning
• Vectorized epsilon-greedy bandits
• Parallel epsilon-greedy bandits
• Knows What It Knows (KWIK)
• Policy Iteration
• Q-Learning
• Open AI Gym Taxi-v2
• Deep Q-Learning
• Double Q-Learning
• Dueling Q-Learning
• Experience/Prioritized/Hindsight Replay
• ...