[{"title":"( 178 个子文件 261.61MB ) 强化学习Nips2020论文下载","children":[{"title":"NeurIPS-2020-joint-policy-search-for-multi-agent-collaboration-with-imperfect-information-Paper.pdf <span style='color:#111;'> 967.37KB </span>","children":null,"spread":false},{"title":"NeurIPS-2020-rl-unplugged-a-collection-of-benchmarks-for-offline-reinforcement-learning-Paper.pdf <span style='color:#111;'> 1.64MB </span>","children":null,"spread":false},{"title":"NeurIPS-2020-non-crossing-quantile-regression-for-distributional-reinforcement-learning-Paper.pdf <span style='color:#111;'> 1018.02KB </span>","children":null,"spread":false},{"title":"Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation.pdf <span style='color:#111;'> 2.44MB </span>","children":null,"spread":false},{"title":"NeurIPS-2020-towards-minimax-optimal-reinforcement-learning-in-factored-markov-decision-processes-Paper.pdf <span style='color:#111;'> 577.33KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]