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68 Results
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Poster
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Fri 7:30 |
Reward-Free Curricula for Training Robust World Models Marc Rigter · Minqi Jiang · Ingmar Posner |
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Poster
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Fri 1:45 |
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni · Benjamin Eysenbach · Erfan Seyedsalehi · Michel Ma · Clement Gehring · Aditya Mahajan · Pierre-Luc Bacon |
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Poster
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Tue 7:30 |
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies Haanvid Lee · Tri Wahyu Guntara · Jongmin Lee · Yung-Kyun Noh · Kee-Eung Kim |
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Poster
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Fri 7:30 |
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning Juan Rocamonde · Victoriano Montesinos · Elvis Nava · Ethan Perez · David Lindner |
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Poster
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Wed 1:45 |
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data Chongyi Zheng · Benjamin Eysenbach · Homer Walke · Patrick Yin · Kuan Fang · Ruslan Salakhutdinov · Sergey Levine |
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Poster
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Fri 7:30 |
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL Xiyao Wang · Ruijie Zheng · Yanchao Sun · Ruonan Jia · Wichayaporn Wongkamjan · Huazhe Xu · Furong Huang |
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Poster
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Wed 7:30 |
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park · Oleh Rybkin · Sergey Levine |
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Poster
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Tue 1:45 |
Addressing Signal Delay in Deep Reinforcement Learning Wei Wang · Dongqi Han · Xufang Luo · Dongsheng Li |
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Poster
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Wed 7:30 |
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning Haoqi Yuan · Zhancun Mu · Feiyang Xie · Zongqing Lu |
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Poster
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Thu 1:45 |
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning Sumeet Batra · Bryon Tjanaka · Matthew Fontaine · Aleksei Petrenko · Stefanos Nikolaidis · Gaurav Sukhatme |
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Poster
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Tue 7:30 |
Making RL with Preference-based Feedback Efficient via Randomization Runzhe Wu · Wen Sun |
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Poster
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Wed 7:30 |
Universal Humanoid Motion Representations for Physics-Based Control Zhengyi Luo · Jinkun Cao · Josh Merel · Alexander Winkler · Jing Huang · Kris Kitani · Weipeng Xu |