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25 Results
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Poster
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Wed 2:30 |
Explaining RL Decisions with Trajectories Shripad Deshmukh · Arpan Dasgupta · Balaji Krishnamurthy · Nan Jiang · Chirag Agarwal · Georgios Theocharous · Jayakumar Subramanian |
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Workshop
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Thu 6:30 |
Invited Talk by Sergey Levine: Leveraging Offline Datasets / Foundation Models for Real-World RL Sergey Levine |
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Poster
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Wed 7:30 |
Offline RL for Natural Language Generation with Implicit Language Q Learning Charlie Snell · Ilya Kostrikov · Yi Su · Sherry Yang · Sergey Levine |
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Poster
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Efficient Offline Policy Optimization with a Learned Model Zichen Liu · Siyi Li · Wee Sun Lee · shuicheng YAN · Zhongwen Xu |
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Poster
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Wed 2:30 |
User-Interactive Offline Reinforcement Learning Phillip Swazinna · Steffen Udluft · Thomas A. Runkler |
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Poster
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Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Liwei Wang · Tong Zhang |
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Poster
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VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang · Raman Arora |
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Poster
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Tue 2:30 |
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang · Tianjun Zhang · Michael Janner · Yueying Li · Tim Rocktaeschel · Edward Grefenstette · Yuandong Tian |
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Poster
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The Role of Coverage in Online Reinforcement Learning Tengyang Xie · Dylan Foster · Yu Bai · Nan Jiang · Sham Kakade |
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Oral
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Tue 6:40 |
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu · Li Jiang · Jianxiong Li · Zhuoran Yang · Zhaoran Wang · Wai Chan · Xianyuan Zhan |
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Poster
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Wed 2:30 |
Hybrid RL: Using both offline and online data can make RL efficient Yuda Song · Yifei Zhou · Ayush Sekhari · Drew Bagnell · Akshay Krishnamurthy · Wen Sun |
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Poster
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Tue 7:30 |
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization Haoran Xu · Li Jiang · Jianxiong Li · Zhuoran Yang · Zhaoran Wang · Wai Chan · Xianyuan Zhan |