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26 Results
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Workshop
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One-Shot Optimal Design for Gaussian Process Analysis of Randomized Experiments Jelena Markovic · Qing Feng · Eytan Bakshy |
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Poster
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Tue 9:00 |
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes Zhihan Xiong · Ruoqi Shen · Qiwen Cui · Maryam Fazel · Simon Du |
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Poster
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Tue 14:00 |
Confident Approximate Policy Iteration for Efficient Local Planning in Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari |
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Poster
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Thu 9:00 |
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu · Wei Xu · Haichao Zhang |
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Poster
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Thu 9:00 |
IMED-RL: Regret optimal learning of ergodic Markov decision processes Fabien Pesquerel · Odalric-Ambrym Maillard |
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Workshop
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Fri 7:00 |
Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems Alexander Terenin · Elizaveta Semenova · Geoff Pleiss · Zi Wang |
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Poster
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Wed 14:00 |
Robust Chin Pang Ho · Marek Petrik · Wolfram Wiesemann |
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Poster
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Wed 9:00 |
Learning to Branch with Tree MDPs Lara Scavuzzo · Feng Chen · Didier Chetelat · Maxime Gasse · Andrea Lodi · Neil Yorke-Smith · Karen Aardal |
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Poster
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Robust Anytime Learning of Markov Decision Processes Marnix Suilen · Thiago D. Simão · David Parker · Nils Jansen |
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Poster
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Tue 14:00 |
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou · Tao Liu · Dileep Kalathil · P. R. Kumar · Chao Tian |
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Poster
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Tue 14:00 |
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani · Lin Yang · Csaba Szepesvari |
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Poster
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Wed 9:00 |
Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski |