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Poster
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Thu 15:00 |
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch |
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Spotlight
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Thu 11:30 |
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents Wenlong Huang · Pieter Abbeel · Deepak Pathak · Igor Mordatch |
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Poster
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Wed 15:30 |
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots Tanmay Shankar · Yixin Lin · Aravind Rajeswaran · Vikash Kumar · Stuart Anderson · Jean Oh |
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Spotlight
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Wed 15:00 |
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots Tanmay Shankar · Yixin Lin · Aravind Rajeswaran · Vikash Kumar · Stuart Anderson · Jean Oh |
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Spotlight
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Wed 11:15 |
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency Qi Cai · Zhuoran Yang · Zhaoran Wang |
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Poster
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Wed 15:30 |
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency Qi Cai · Zhuoran Yang · Zhaoran Wang |
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Spotlight
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Thu 8:30 |
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang |
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Spotlight
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Wed 14:50 |
Adaptive Model Design for Markov Decision Process Siyu Chen · Donglin Yang · Jiayang Li · Senmiao Wang · Zhuoran Yang · Zhaoran Wang |
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Poster
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Thu 15:00 |
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang |
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Spotlight
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Wed 14:40 |
A Natural Actor-Critic Framework for Zero-Sum Markov Games Ahmet Alacaoglu · Luca Viano · Niao He · Volkan Cevher |
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Spotlight
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Tue 8:20 |
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints Liyu Chen · Rahul Jain · Haipeng Luo |
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Poster
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Wed 15:30 |
Adaptive Model Design for Markov Decision Process Siyu Chen · Donglin Yang · Jiayang Li · Senmiao Wang · Zhuoran Yang · Zhaoran Wang |