SPIA Group2 Introduction to Reinforcement learning reference: Reinforcement Learning: An Introduction (2nd ed, latest) by Sutton & Barto 1st(Ch1-Lec1) 14:00~14:30 Minju : state, action, reward, policy, environment, agent... 2nd(Ch3-Lec2) 14:30~15:00 Dooyoung: Episodes, Returns, MDP, Markov property, Value function 3rd(Ch4-Lec3) 15:00~15:30 Yui : Policy Evaluation/Improvement/Iteration, Value Iteration 4th(Ch5-Lec4,5) 15:30~16:00 Xu Han : Monte Carlo, On-policy/Off-policy, Important Sampling