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757 Results
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Poster
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Tue 7:30 |
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt · Alexandre Lacoste · Sai Rajeswar |
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Poster
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Critic Sequential Monte Carlo Vasileios Lioutas · Jonathan Lavington · Justice Sefas · Matthew Niedoba · Yunpeng Liu · Berend Zwartsenberg · Setareh Dabiri · Frank Wood · Adam Scibior |
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Poster
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Efficient Offline Policy Optimization with a Learned Model Zichen Liu · Siyi Li · Wee Sun Lee · shuicheng YAN · Zhongwen Xu |
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Workshop
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Thu 2:50 |
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management Julien Siems |
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Poster
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Tue 7:30 |
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling Huayu Chen · Cheng Lu · Chengyang Ying · Hang Su · Jun Zhu |
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Poster
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EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan · Jianye HAO · Fei Ni · Yao Mu · YAN ZHENG · Yujing Hu · Jinyi Liu · Yingfeng Chen · Changjie Fan |
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Workshop
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SE(3)SE(3) Frame Equivariance in Dynamics Modeling and Reinforcement Learning Linfeng Zhao · Jung Yeon Park · Xupeng Zhu · Robin Walters · Lawson Wong |
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Poster
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Mon 2:30 |
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting Nicolai Dorka · Tim Welschehold · Wolfram Burgard |
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Poster
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CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue · Guanbo Wang · Wei Shao · Zhaofeng Zhang · Sen Lin · Ju Ren · Junshan Zhang |
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Poster
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Tue 7:30 |
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning Ivona Najdenkoska · Xiantong Zhen · Marcel Worring |
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Poster
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Variational Latent Branching Model for Off-Policy Evaluation Qitong Gao · Ge Gao · Min Chi · Miroslav Pajic |
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Oral
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Mon 6:20 |
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting Xiajun Jiang · Ryan Missel · Zhiyuan Li · Linwei Wang |