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590 Results
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Workshop
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Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Jason Yecheng Ma · Andrew Shen · Osbert Bastani · Dinesh Jayaraman |
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Workshop
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Tue 5:00 |
Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning? Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine |
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Workshop
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Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management Pavithra Harsha · Ashish Jagmohan · Jayant Kalagnanam · Brian Quanz · Divya Singhvi |
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Poster
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Thu 8:30 |
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms Sreenivas Gollapudi · Guru Guruganesh · Kostas Kollias · Pasin Manurangsi · Renato Leme · Jon Schneider |
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Workshop
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DriverGym: Democratising Reinforcement Learning for Autonomous Driving Parth Kothari · Christian Perone · Luca Bergamini · Alexandre Alahi · Peter Ondruska |
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Spotlight
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Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan |
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Workshop
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Safe Reinforcement Learning for Grid Voltage Control Thanh Long Vu · Sayak Mukherjee · Renke Huang · Qiuhua Huang |
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Datasets and Benchmarks
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Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane Wang · Michael King · Nicolas Porcel · Zeb Kurth-Nelson · Tina Zhu · Charles Deck · Peter Choy · Mary Cassin · Malcolm Reynolds · Francis Song · Gavin Buttimore · David Reichert · Neil Rabinowitz · Loic Matthey · Demis Hassabis · Alexander Lerchner · Matt Botvinick |
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Workshop
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Tue 12:15 |
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviichuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar |
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Spotlight
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Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi |
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Workshop
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Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviichuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar |
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Workshop
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Tue 13:30 |
Spotlight Talk: On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Mridul Agarwal · Vaneet Aggarwal · Washim Mondal · Satish Ukkusuri |