[{"title":"( 11 个子文件 14.99MB ) David Silver强化学习(reinforcement learning)课程PPT","children":[{"title":"David Silver强化学习(reinforcement learning)课程PPT","children":[{"title":"intergrating learning and planning.pdf <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false},{"title":"MC-TD.pdf <span style='color:#111;'> 1.39MB </span>","children":null,"spread":false},{"title":"DP.pdf <span style='color:#111;'> 804.66KB </span>","children":null,"spread":false},{"title":"model-free control.pdf <span style='color:#111;'> 1.43MB </span>","children":null,"spread":false},{"title":"MDP.pdf <span style='color:#111;'> 815.74KB </span>","children":null,"spread":false},{"title":"Value Function Approximation.pdf <span style='color:#111;'> 1.90MB </span>","children":null,"spread":false},{"title":"intro_RL.pdf <span style='color:#111;'> 2.86MB </span>","children":null,"spread":false},{"title":"classic games.pdf <span style='color:#111;'> 2.96MB </span>","children":null,"spread":false},{"title":"Easy21-Johannes.pdf <span style='color:#111;'> 226.17KB </span>","children":null,"spread":false},{"title":"Policy Gradient.pdf <span style='color:#111;'> 1.79MB </span>","children":null,"spread":false},{"title":"exploration and exploitation.pdf <span style='color:#111;'> 1.28MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]