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Workshop
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DIP-RL: Demonstration-Inferred Preference Learning in Minecraft
Ellen Novoseller · Vinicius G. Goecks · David Watkins · Josh Miller · Nicholas Waytowich
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Workshop
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HIP-RL: Hallucinated Inputs for Preference-based Reinforcement Learning in Continuous Domains
Chen Bo Calvin Zhang · Giorgia Ramponi
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Workshop
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Principal-Driven Reward Design and Agent Policy Alignment via Bilevel-RL
Souradip Chakraborty · Amrit Bedi · Alec Koppel · Furong Huang · Mengdi Wang
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Poster
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Thu 13:30
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MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni · Jianye Hao · Yao Mu · Yifu Yuan · Yan Zheng · Bin Wang · Zhixuan Liang
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Poster
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Wed 14:00
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Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
Masatoshi Uehara · Ayush Sekhari · Jason Lee · Nathan Kallus · Wen Sun
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Oral Session
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Tue 20:30
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Oral A1 Causal Learning, RL, Personalization
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Poster
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Tue 14:00
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The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
Anirudh Vemula · Yuda Song · Aarti Singh · J. Bagnell · Sanjiban Choudhury
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Oral
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Tue 20:54
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Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
Zakaria Mhammedi · Dylan Foster · Alexander Rakhlin
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Poster
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Tue 17:00
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Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
Asuman Ozdaglar · Sarath Pattathil · Jiawei Zhang · Kaiqing Zhang
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Oral
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Tue 21:26
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Efficient RL via Disentangled Environment and Agent Representations
Kevin Gmelin · Shikhar Bahl · Russell Mendonca · Deepak Pathak
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Poster
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Wed 14:00
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Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata · Ahmed Khalil · Raul Santos-Rodriguez
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Poster
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Thu 16:30
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A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
Benjamin Eysenbach · Matthieu Geist · Sergey Levine · Ruslan Salakhutdinov
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