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Sriram Ganapathi Subramanian

Multi-Agent Advisor Q-Learning


Nov 08, 2021
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley

* New version has some typos corrected 

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Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments


Nov 01, 2021
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley

* 15 pages, 7 figures, Accepted for NeurIPS 2021 Deep Reinforcement Learning Workshop 

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The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning


Mar 07, 2021
Volodymyr Tkachuk, Sriram Ganapathi Subramanian, Matthew E. Taylor

* 7 pages, 2 figures, submitted to ALA 2021 

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Maximum Reward Formulation In Reinforcement Learning


Oct 08, 2020
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

* 13 pages, 5 figures 

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Multi Type Mean Field Reinforcement Learning


Mar 09, 2020
Sriram Ganapathi Subramanian, Pascal Poupart, Matthew E. Taylor, Nidhi Hegde

* Paper to appear in the Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2020. Revised version has some typos corrected 

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A review of machine learning applications in wildfire science and management


Mar 02, 2020
Piyush Jain, Sean C P Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D Flannigan

* 79 pages, 4 figures, 3 tables 

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