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