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Poster
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Wed 14:00
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Learning in Observable POMDPs, without Computationally Intractable Oracles
Noah Golowich · Ankur Moitra · Dhruv Rohatgi
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Poster
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Wed 14:00
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Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin
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Poster
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Tue 14:00
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Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao · Zhengling Qi · Xiaoke Zhang
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Workshop
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Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger · Robert Platt · Christopher Amato
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Poster
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Thu 9:00
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Tractable Optimality in Episodic Latent MABs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
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Workshop
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Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Shunsuke Horii
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Workshop
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Posterior Consistency for Gaussian Process Surrogate Models with Generalized Observations
Rujian Chen · John Fisher III
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Workshop
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Toward Semantic History Compression for Reinforcement Learning
Fabian Paischer · Thomas Adler · Andreas Radler · Markus Hofmarcher · Sepp Hochreiter
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Poster
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Thu 14:00
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Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Jonatha Anselmi · Bruno Gaujal · Louis-Sébastien Rebuffi
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Poster
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Thu 14:00
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Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara · Ayush Sekhari · Jason Lee · Nathan Kallus · Wen Sun
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Workshop
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Fri 13:30
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Human-Guided Motion Planning in Partially Observable Environments
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Workshop
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Toward Semantic History Compression for Reinforcement Learning
Fabian Paischer · Thomas Adler · Andreas Radler · Markus Hofmarcher · Sepp Hochreiter
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