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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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Wed 16:30
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Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee · Cong Ma
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Poster
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Fri 11:00
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Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Otmane Sakhi · Imad Aouali · Pierre Alquier · Nicolas Chopin
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Poster
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Thu 11:00
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On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang · Nan Jiang
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Affinity Event
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MLSherlock: An Audit Lens for Policy-Compliance Machine Learning Systems
Ismat Jarin · Tu Le · Athina Markopoulou
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Poster
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Fri 11:00
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RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
Jeongyeol Kwon · Shie Mannor · Constantine Caramanis · Yonathan Efroni
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Poster
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Wed 16:30
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Off-Policy Selection for Initiating Human-Centric Experimental Design
Ge Gao · Xi Yang · Qitong Gao · Song Ju · Miroslav Pajic · Min Chi
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Poster
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Fri 16:30
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Improved off-policy training of diffusion samplers
Marcin Sendera · Minsu Kim · Sarthak Mittal · Pablo Lemos · Luca Scimeca · Jarrid Rector-Brooks · Alexandre Adam · Yoshua Bengio · Nikolay Malkin
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Poster
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Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan-Ming Luo · Zuolin Tu · Zefang Huang · Yang Yu
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Poster
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Wed 16:30
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Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
Andrew Bennett · Nathan Kallus · Miruna Oprescu · Wen Sun · Kaiwen Wang
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Poster
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Wed 16:30
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RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Shaoteng Liu · Haoqi Yuan · Minda Hu · Yanwei Li · Yukang Chen · Shu Liu · Zongqing Lu · Jiaya Jia
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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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