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Poster
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Tue 9:00
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Workshop
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Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig
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Workshop
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Sparse Q-Learning: Offline Reinforcement Learning with Implicit Value Regularization
Haoran Xu · Li Jiang · Li Jianxiong · Zhuoran Yang · Zhaoran Wang · Xianyuan Zhan
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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Poster
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Thu 9:00
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Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
HYUNWOOK KANG · Taehwan Kwon · Jinkyoo Park · James R. Morrison
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Workshop
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A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving
Guan Wang · Haoyi Niu · desheng zhu · Jianming HU · Xianyuan Zhan · Guyue Zhou
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Workshop
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Hypernetwork-PPO for Continual Reinforcement Learning
Philemon Schöpf · Sayantan Auddy · Jakob Hollenstein · Antonio Rodriguez-sanchez
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Workshop
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CLaP: Conditional Latent Planners for Offline Reinforcement Learning
Harry Shin · Rose Wang
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Workshop
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Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar · Jonathan Zamora · Nicklas Hansen · Rishabh Jangir · Xiaolong Wang
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Workshop
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Semi-analytical Industrial Cooling System Model for Reinforcement Learning
Yuri Chervonyi · Praneet Dutta
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Workshop
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Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
Mudit Verma · Ayush Kharkwal · Subbarao Kambhampati
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