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Poster
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Wed 16:30
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Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan · Wensen Mao · He Zhu
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Workshop
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Model-Agnostic Meta-Learning with Open-Ended R
Aya Shabbar
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Workshop
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Functional Alignment of Protein Language Models via Reinforcement Learning with Experimental Feedback
Nathaniel Blalock · Srinath Seshadri · Philip Romero
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Workshop
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Transformer-based Imagination with Slot Attention
Yosuke Nishimoto · Takashi Matsubara
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Poster
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Wed 16:30
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REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
Liang-Hsuan Tseng · En-Pei Hu · Cheng-Han Chiang · Yuan Tseng · Hung-yi Lee · Lin-shan Lee · Shao-Hua Sun
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Poster
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Wed 11:00
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Opponent Modeling based on Subgoal Inference
XiaoPeng Yu · Jiechuan Jiang · Zongqing Lu
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Poster
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Thu 16:30
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Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho · Vindula Jayawardana · Sirui Li · Cathy Wu
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Poster
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Wed 16:30
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The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims · Cong Lu · Jakob Foerster · Yee Whye Teh
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Poster
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Thu 11:00
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Periodic agent-state based Q-learning for POMDPs
Amit Sinha · Matthieu Geist · Aditya Mahajan
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Poster
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Wed 16:30
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Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
Guhao Feng · Han Zhong
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Poster
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Fri 11:00
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Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson · Isaac Kauvar · Nick Haber
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Poster
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Thu 11:00
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Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgül · Manuel Haussmann · Melih Kandemir
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