OpenAI Key Papers

[{"title":"（ 114 个子文件 285.08MB ） OpenAI Key Papers","children":[{"title":"[59] Imagination-Augmented Agents for Deep Reinforcement Learning.pdf <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"[62] Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.pdf <span style='color:#111;'> 3.05MB </span>","children":null,"spread":false},{"title":"[61] Model-Based Value Expansion for Efficient Model-Free Reinforcement Learning.pdf <span style='color:#111;'> 2.70MB </span>","children":null,"spread":false},{"title":"[45] Model-Based Value Expansion for Efficient Model-Free Reinforcement Learning.pdf <span style='color:#111;'> 2.70MB </span>","children":null,"spread":false},{"title":"[44] Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning.pdf <span style='color:#111;'> 2.41MB </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}]