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Oral
Fri Jul 22 02:30 AM -- 02:50 AM (KST) @ Room 301 - 303
Learning Bellman Complete Representations for Offline Policy Evaluation
In Reinforcement Learning
Jonathan Chang · Kaiwen Wang · Nathan Kallus · Wen Sun
Spotlight
Fri Jul 22 02:50 AM -- 02:55 AM (KST) @ Room 301 - 303
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
In Reinforcement Learning
Nathan Kallus · Xiaojie Mao · Kaiwen Wang · Zhengyuan Zhou
Spotlight
Fri Jul 22 02:55 AM -- 03:00 AM (KST) @ Room 301 - 303
A Simple Reward-free Approach to Constrained Reinforcement Learning
In Reinforcement Learning
Sobhan Miryoosefi · Chi Jin
Spotlight
Fri Jul 22 03:00 AM -- 03:05 AM (KST) @ Room 301 - 303
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching
In Reinforcement Learning
Jason Yecheng Ma · Andrew Shen · Dinesh Jayaraman · Osbert Bastani
Spotlight
Fri Jul 22 03:05 AM -- 03:10 AM (KST) @ Room 301 - 303
Temporal Difference Learning for Model Predictive Control
In Reinforcement Learning
Nicklas Hansen · Hao Su · Xiaolong Wang
Spotlight
Fri Jul 22 03:10 AM -- 03:15 AM (KST) @ Room 301 - 303
Model Selection in Batch Policy Optimization
In Reinforcement Learning
Jonathan Lee · George Tucker · Ofir Nachum · Bo Dai
Oral
Fri Jul 22 03:15 AM -- 03:35 AM (KST) @ Room 301 - 303 None
Adversarially Trained Actor Critic for Offline Reinforcement Learning
In Reinforcement Learning
Ching-An Cheng · Tengyang Xie · Nan Jiang · Alekh Agarwal
Spotlight
Fri Jul 22 03:35 AM -- 03:40 AM (KST) @ Room 301 - 303
Optimal Estimation of Policy Gradient via Double Fitted Iteration
In Reinforcement Learning
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Spotlight
Fri Jul 22 03:40 AM -- 03:45 AM (KST) @ Room 301 - 303
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes
In Reinforcement Learning
Hongyi Guo · Qi Cai · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Spotlight
Fri Jul 22 03:45 AM -- 03:50 AM (KST) @ Room 301 - 303
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
In Reinforcement Learning
Ruiqi Zhang · Xuezhou Zhang · Chengzhuo Ni · Mengdi Wang
Spotlight
Fri Jul 22 03:50 AM -- 03:55 AM (KST) @ Room 301 - 303
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
In Reinforcement Learning
Huang Bojun
Spotlight
Fri Jul 22 03:55 AM -- 04:00 AM (KST) @ Room 301 - 303
On the Role of Discount Factor in Offline Reinforcement Learning
In Reinforcement Learning
Hao Hu · yiqin yang · Qianchuan Zhao · Chongjie Zhang