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68 Results

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Poster
Thu 1:45 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
Stone Tao · Arth Shukla · Tse-kai Chan · Hao Su
Poster
Fri 7:30 The Curse of Diversity in Ensemble-Based Exploration
Zhixuan Lin · Pierluca D'Oro · Evgenii Nikishin · Aaron Courville
Poster
Tue 1:45 Predictive auxiliary objectives in deep RL mimic learning in the brain
Ching Fang · Kimberly Stachenfeld
Poster
Tue 1:45 Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
Hao Sun · Alihan Hüyük · Mihaela van der Schaar
Poster
Thu 7:30 Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong · Anca Dragan · Sergey Levine
Poster
Fri 1:45 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland · Giovanni Montana
Poster
Thu 1:45 Identifying Policy Gradient Subspaces
Jan Schneider · Pierre Schumacher · Simon Guist · Le Chen · Daniel Haeufle · Bernhard Schoelkopf · Dieter Büchler
Poster
Fri 1:45 Demonstration-Regularized RL
Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Alexey Naumov · Pierre Perrault · Michal Valko · Pierre Ménard
Poster
Thu 1:45 Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit Sikchi · Qinqing Zheng · Amy Zhang · Scott Niekum
Poster
Fri 1:45 Exploring the Promise and Limits of Real-Time Recurrent Learning
Kazuki Irie · Anand Gopalakrishnan · Jürgen Schmidhuber
Affinity Workshop
Thu 7:30 RLHF without RL
Mischa Panchenko
Poster
Wed 1:45 Learning to Act without Actions
Dominik Schmidt · Minqi Jiang