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FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus


Jun 26, 2022
Amrit Singh Bedi , Chen Fan , Alec Koppel , Anit Kumar Sahu , Brian M. Sadler , Furong Huang , Dinesh Manocha


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$\texttt{FedBC}$: Calibrating Global and Local Models via Federated Learning Beyond Consensus


Jun 22, 2022
Amrit Singh Bedi , Chen Fan , Alec Koppel , Anit Kumar Sahu , Brian M. Sadler , Furong Huang , Dinesh Manocha


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Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies


Jun 12, 2022
Souradip Chakraborty , Amrit Singh Bedi , Alec Koppel , Pratap Tokekar , Dinesh Manocha


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Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning


Jun 02, 2022
Souradip Chakraborty , Amrit Singh Bedi , Alec Koppel , Brian M. Sadler , Furong Huang , Pratap Tokekar , Dinesh Manocha


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Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation


Mar 02, 2022
Yulun Tian , Amrit Singh Bedi , Alec Koppel , Miguel Calvo-Fullana , David M. Rosen , Jonathan P. How

* technical report (17 pages, 3 figures) 

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On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces


Jan 31, 2022
Amrit Singh Bedi , Souradip Chakraborty , Anjaly Parayil , Brian Sadler , Pratap Tokekar , Alec Koppel


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Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search


Jan 21, 2022
Wesley A. Suttle , Alec Koppel , Ji Liu


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Online, Informative MCMC Thinning with Kernelized Stein Discrepancy


Jan 18, 2022
Cole Hawkins , Alec Koppel , Zheng Zhang


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Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming


Oct 22, 2021
Alec Koppel , Amrit Singh Bedi , Bhargav Ganguly , Vaneet Aggarwal


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Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication


Oct 12, 2021
James Di , Ehsan Zobeidi , Alec Koppel , Nikolay Atanasov


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