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Andrey Kolobov
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PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining


Mar 15, 2023
Garrett Thomas, Ching-An Cheng, Ricky Loynd, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov

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Exploring Levels of Control for a Navigation Assistant for Blind Travelers


Jan 05, 2023
Vinitha Ranganeni, Mike Sinclair, Eyal Ofek, Amos Miller, Jonathan Campbell, Andrey Kolobov, Edward Cutrell

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* 9 pages, 6 figures, Human-Robot Interaction 2023 
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MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control


Aug 15, 2022
Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht

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The Sandbox Environment for Generalizable Agent Research (SEGAR)


Mar 19, 2022
R Devon Hjelm, Bogdan Mazoure, Florian Golemo, Felipe Frujeri, Mihai Jalobeanu, Andrey Kolobov

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Heuristic-Guided Reinforcement Learning


Jun 05, 2021
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan

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Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL


Jun 04, 2021
Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R Devon Hjelm, Andrey Kolobov

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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark


Mar 29, 2021
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe

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Policy Improvement from Multiple Experts


Jul 01, 2020
Ching-An Cheng, Andrey Kolobov, Alekh Agarwal

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Safe Reinforcement Learning via Curriculum Induction


Jun 22, 2020
Matteo Turchetta, Andrey Kolobov, Shital Shah, Andreas Krause, Alekh Agarwal

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Online Learning for Active Cache Synchronization


Feb 27, 2020
Andrey Kolobov, Sébastien Bubeck, Julian Zimmert

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