Deep Reinforcement Learning Online Course | Udacity

The Deep Reinforcement Learning Nanodegree has four courses: Introduction to Deep Reinforcement Learning, Value-Based Methods, Policy-Based Methods, and Multi-Agent RL. Students learn to implement classical solution methods, define Markov decision processes, policies, and value functions, and derive Bellman equations. They learn dynamic programming, Monte Carlo methods, temporal-difference methods

[minamishinji]

これやりたいけど、たっかいなー

[hsato2011]

講義　強化学習 機械学習