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12 Results

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Poster
Wed 9:00 Exploration via Elliptical Episodic Bonuses
Mikael Henaff · Roberta Raileanu · Minqi Jiang · Tim Rocktäschel
Poster
Constrained Update Projection Approach to Safe Policy Optimization
Long Yang · Jiaming Ji · Juntao Dai · Linrui Zhang · Binbin Zhou · Pengfei Li · Yaodong Yang · Gang Pan
Poster
Tue 9:00 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du
Poster
Thu 14:00 Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
Poster
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
Tao Sun · Dongsheng Li · Bao Wang
Poster
Thu 9:00 DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
Archana Bura · Aria HasanzadeZonuzy · Dileep Kalathil · Srinivas Shakkottai · Jean-Francois Chamberland
Poster
Tue 9:00 Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Sahand Rezaei-Shoshtari · Rosie Zhao · Prakash Panangaden · David Meger · Doina Precup
Poster
Wed 14:00 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin · Tal Lancewicki · Haipeng Luo · Yishay Mansour · Aviv Rosenberg
Poster
Wed 9:00 Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Yeoneung Kim · Insoon Yang · Kwang-Sung Jun
Poster
Provable General Function Class Representation Learning in Multitask Bandits and MDP
Rui Lu · Andrew Zhao · Simon Du · Gao Huang
Workshop
Online Policy Optimization for Robust MDP
Jing Dong · Jingwei Li · Baoxiang Wang · Jingzhao Zhang
Workshop
Fri 8:20 Online Policy Optimization for Robust MDP
Jing Dong · Jingwei Li · Baoxiang Wang · Jingzhao Zhang