Amit Sinha Student (Ph.D.), GERAD share McGill University amit.sinha@mail.mcgill.ca Education since Jan 2021 Ph.D. Approximate planning and learning in multi-agent systems McGill University – Department of Electrical and Computer Engineering, Aditya Mahajan, director Jan 2019 – Dec 2020 Master's degree Approximate information states for partially observable Markov decision processes McGill University – Department of Electrical and Computer Engineering, Aditya Mahajan, director Publications Aug 2023 Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, and Sarath Chandar Conference on Lifelong Learning Agents, Montréal, Canada, 2023 BibTeX reference Mar 2023 Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games Jayakumar Subramanian, Amit Sinha, and Aditya Mahajan Dynamic Games and Applications, 13, 56–88, 2023 BibTeX reference Feb 2022 Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems Jayakumar Subramanian, Amit Sinha, Raihan Seraj, and Aditya Mahajan Journal of Machine Learning Research, 23(12), 1–83, 2022 BibTeX reference 4 publications News Amit Sinha obtained a FRQNT scholarship Jul 20, 2020 Amit Sinha, MSc student at McGill University and supervised by Aditya Mahajan, has received the FRQNT master research scholarship (B1X). Congratulations! Prizes and awards 2021 – 2023 McGill Engineering Doctoral Award McGill University 2021 Arthur Allan McAlear Graduate Fellowship McGill University 2020 Master's research scholarship FRQNT
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