Reinforcement Learning

• Agents
• General Problem
• Reinforcement Learning Problems
• Learning Task
• Optimal Policy
• Grid-world
• Finding Optimal Policies
• Q Learning
• Q Learning Properties
• Q learning Algorithm
• Illustrative Example
• Convergence
• Experimentation Strategies
• Updating Sequence
• Nondeterministic Rewards and Actions
• Temporal Difference Learning
• Generalizing from Examples
• Relationship to Dynamic Programming
• Summary