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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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Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach


Sep 13, 2021
Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal


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Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference


Jul 26, 2021
Michael E. Kepler, Alec Koppel, Amrit Singh Bedi, Daniel J. Stilwell


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On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control


Jun 15, 2021
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel


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MARL with General Utilities via Decentralized Shadow Reward Actor-Critic


May 29, 2021
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel


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Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression


Mar 30, 2021
Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov


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Composable Learning with Sparse Kernel Representations


Mar 29, 2021
Ekaterina Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro


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Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent


Nov 13, 2020
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel


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A Markov Decision Process Approach to Active Meta Learning


Sep 10, 2020
Bingjia Wang, Alec Koppel, Vikram Krishnamurthy


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Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems


Jul 09, 2020
Zhan Gao, Alec Koppel, Alejandro Ribeiro


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Variational Policy Gradient Method for Reinforcement Learning with General Utilities


Jul 04, 2020
Junyu Zhang, Alec Koppel, Amrit Singh Bedi, Csaba Szepesvari, Mengdi Wang


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Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck


Apr 23, 2020
Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat


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Policy Gradient using Weak Derivatives for Reinforcement Learning


Apr 09, 2020
Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy

* 1 figure 

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Efficient Gaussian Process Bandits by Believing only Informative Actions


Mar 23, 2020
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel


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Asynchronous and Parallel Distributed Pose Graph Optimization


Mar 06, 2020
Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How


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Cautious Reinforcement Learning via Distributional Risk in the Dual Domain


Feb 27, 2020
Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel


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On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation


Oct 18, 2019
Harshat Kumar, Alec Koppel, Alejandro Ribeiro


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Optimally Compressed Nonparametric Online Learning


Sep 25, 2019
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler


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Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony


Sep 12, 2019
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler


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Adaptive Kernel Learning in Heterogeneous Networks


Aug 01, 2019
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat


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Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies


Jun 19, 2019
Kaiqing Zhang, Alec Koppel, Hao Zhu, Tamer Başar


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Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems


Apr 19, 2018
Alec Koppel, Ekaterina Tolstaya, Ethan Stump, Alejandro Ribeiro


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Decentralized Online Learning with Kernels


Oct 11, 2017
Alec Koppel, Santiago Paternain, Cedric Richard, Alejandro Ribeiro

* Submitted to IEEE TSP. Partial results appear in 2017 IEEE GlobalSIP. arXiv admin note: text overlap with arXiv:1612.04111 

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Parsimonious Online Learning with Kernels via Sparse Projections in Function Space


Dec 13, 2016
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro

* Submitted to JMLR on 11/24/2016 

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A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning


Jun 15, 2016
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro

* arXiv admin note: substantial text overlap with arXiv:1603.06782 

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Decentralized Dynamic Discriminative Dictionary Learning


May 03, 2016
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro


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Doubly Random Parallel Stochastic Methods for Large Scale Learning


Mar 22, 2016
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro


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