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STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning


Jan 28, 2023
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha

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Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP


Dec 01, 2022
Jinghan Wang, Mengdi Wang, Lin F. Yang

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Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality


Nov 02, 2022
Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui

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* To be published in Patterns (Cell Press) 

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Representation Learning for General-sum Low-rank Markov Games


Oct 30, 2022
Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang

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Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient


Oct 03, 2022
Ming Yin, Mengdi Wang, Yu-Xiang Wang

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Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization


Jun 29, 2022
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang

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Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks


Jun 22, 2022
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang

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Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality


Jun 10, 2022
Ming Yin, Wenjing Chen, Mengdi Wang, Yu-Xiang Wang

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* UAI 2022 

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Communication Efficient Distributed Learning for Kernelized Contextual Bandits


Jun 10, 2022
Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang

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* 29 pages, 3 figures 

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Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks


Jun 06, 2022
Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao

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