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Spotlight
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Tue 14:40
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Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen · Yi Zhou · Rong-Rong Chen · Shaofeng Zou
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Poster
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Tue 15:30
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Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen · Yi Zhou · Rong-Rong Chen · Shaofeng Zou
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Spotlight
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Wed 10:35
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PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Matilde Gargiani · Andrea Zanelli · Andrea Martinelli · Tyler Summers · John Lygeros
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Poster
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Wed 15:30
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PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
Matilde Gargiani · Andrea Zanelli · Andrea Martinelli · Tyler Summers · John Lygeros
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Spotlight
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Wed 8:40
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Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
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Poster
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Wed 15:30
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Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh · Deepak Pathak · Trevor Darrell
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Spotlight
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Wed 11:15
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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
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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 11:40
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EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
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Poster
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Thu 15:00
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EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Shuang Ao · Tianyi Zhou · Jing Jiang · Guodong Long · Xuan Song · Chengqi Zhang
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Spotlight
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Tue 8:20
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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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Tue 15:30
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Learning Infinite-horizon Average-reward Markov Decision Process with Constraints
Liyu Chen · Rahul Jain · Haipeng Luo
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