Reinforcement Learning

Model-based learning

– Laplace-smoothed parameter estimates – Epsilon-first and Epsilon-greedy exploration strategies

Model-free learning

– TD-learning & SARSA – Policy gradient

Speed of learning

– Standard error – Exponential complexity of naïve RL