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Panel 4A-4: Giving Feedback on… & Computationally Efficient Horizon-Free…
Dongruo Zhou · Evan Liu
Author Information
Dongruo Zhou (UCLA)
Evan Liu (Stanford University)
More from the Same Authors
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2020 : Decoupling Exploration and Exploitation in Meta-Reinforcement Learning without Sacrifices »
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2021 : Faster Perturbed Stochastic Gradient Methods for Finding Local Minima »
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2021 : Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium »
Chris Junchi Li · Dongruo Zhou · Quanquan Gu · Michael Jordan -
2022 Poster: Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs »
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2022 Poster: Learning Options via Compression »
Yiding Jiang · Evan Liu · Benjamin Eysenbach · J. Zico Kolter · Chelsea Finn -
2022 Poster: Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium »
Chris Junchi Li · Dongruo Zhou · Quanquan Gu · Michael Jordan -
2022 Poster: Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions »
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2022 Poster: Giving Feedback on Interactive Student Programs with Meta-Exploration »
Evan Liu · Moritz Stephan · Allen Nie · Chris Piech · Emma Brunskill · Chelsea Finn -
2021 : Interpretability of Machine Learning in Computer Systems: Analyzing a Caching Model »
Leon Sixt · Evan Liu · Marie Pellat · James Wexler · Milad Hashemi · Been Kim · Martin Maas -
2021 Poster: Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation »
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2021 Poster: Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs »
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2021 Poster: Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation »
Weitong ZHANG · Dongruo Zhou · Quanquan Gu -
2021 Poster: Variance-Aware Off-Policy Evaluation with Linear Function Approximation »
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2021 Poster: Iterative Teacher-Aware Learning »
Luyao Yuan · Dongruo Zhou · Junhong Shen · Jingdong Gao · Jeffrey L Chen · Quanquan Gu · Ying Nian Wu · Song-Chun Zhu -
2021 Poster: Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints »
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2021 Poster: Pure Exploration in Kernel and Neural Bandits »
Yinglun Zhu · Dongruo Zhou · Ruoxi Jiang · Quanquan Gu · Rebecca Willett · Robert Nowak -
2020 : Contributed talks in Session 4 (Zoom) »
Quanquan Gu · sanae lotfi · Charles Guille-Escuret · Tolga Ergen · Dongruo Zhou -
2020 : Contributed Video: On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization, Dongruo Zhou »
Dongruo Zhou -
2020 : Poster Session 3 (gather.town) »
Denny Wu · Chengrun Yang · Tolga Ergen · sanae lotfi · Charles Guille-Escuret · Boris Ginsburg · Hanbake Lyu · Cong Xie · David Newton · Debraj Basu · Yewen Wang · James Lucas · MAOJIA LI · Lijun Ding · Jose Javier Gonzalez Ortiz · Reyhane Askari Hemmat · Zhiqi Bu · Neal Lawton · Kiran Thekumparampil · Jiaming Liang · Lindon Roberts · Jingyi Zhu · Dongruo Zhou -
2018 Poster: Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization »
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2018 Spotlight: Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization »
Dongruo Zhou · Pan Xu · Quanquan Gu