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Workshop
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Learning Bayes-Optimal Representation in Partially Observable Environments via Meta-Reinforcement Learning with Predictive Coding
Po-Chen Kuo · Han Hou · Will Dabney · Edgar Walker
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Poster
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Fri 11:00
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Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
Siyuan Xu · Minghui Zhu
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Poster
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Thu 11:00
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Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis · Justin Jung · Falcon Dai · Matthew Walter
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Poster
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Fri 11:00
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Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan · Guofeng Cui · He Zhu
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Workshop
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Sat 16:00
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Contributed Talk: Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
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Poster
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Thu 11:00
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Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan · Alex Schwing · Yu-Xiong Wang
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Workshop
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From Laws to Motivation: Guiding Exploration through Law-Based Intrinsic Reasoning and Rewards
Ziyu Chen · Zhiqing Xiao · Xinbei Jiang · Junbo Zhao
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Workshop
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Connecting Frameworks for Unsupervised Learning of Temporal Distance-Based Representations
John L Zhou · Shreyas Kaasyap · Jonathan Kao
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Poster
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Thu 16:30
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First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
Ben Norman · Jeff Clune
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Poster
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Thu 16:30
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A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations
Wonil Song · Hyesong Choi · Kwanghoon Sohn · Dongbo Min
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Poster
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Wed 16:30
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SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling
Dengwei Zhao · Shikui Tu · Lei Xu
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Poster
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Thu 11:00
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Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux · Hisashi Kashima
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