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Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits


Sep 30, 2022
Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu

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* 32 pages, 9 figures 

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Adaptive Discretization in Online Reinforcement Learning


Oct 29, 2021
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu

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* 70 pages, 5 figures. arXiv admin note: text overlap with arXiv:2007.00717 

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Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery


Jan 05, 2021
Devleena Das, Siddhartha Banerjee, Sonia Chernova

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Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery


Nov 19, 2020
Devleena Das, Siddhartha Banerjee, Sonia Chernova

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Adaptive Discretization for Model-Based Reinforcement Learning


Jul 01, 2020
Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

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* 50 pages, 6 figures 

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Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks


Jan 28, 2020
Siddhartha Banerjee, Angel Daruna, David Kent, Weiyu Liu, Jonathan Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav, Sonia Chernova

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* Published and presented at International Symposium on Robotics Research (ISRR), 2019 in Hanoi, Vietnam 

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Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces


Oct 31, 2019
Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu

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* 46 pages, 15 figures 

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Online Allocation and Pricing: Constant Regret via Bellman Inequalities


Jun 14, 2019
Alberto Vera, Siddhartha Banerjee, Itai Gurvich

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The Bayesian Prophet: A Low-Regret Framework for Online Decision Making


Jan 15, 2019
Alberto Vera, Siddhartha Banerjee

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* Extended abstract to appear in SIGMETRICS 2019 

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