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Amit Sinha
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Approximate information state for approximate planning and reinforcement learning in partially observed systems
J Subramanian, A Sinha, R Seraj, A Mahajan
Journal of Machine Learning Research 23 (12), 1-83, 2022
762022
Robustness and sample complexity of model-based MARL for general-sum Markov games
J Subramanian, A Sinha, A Mahajan
Dynamic Games and Applications 13 (1), 56-88, 2023
102023
Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning
H Nekoei, A Badrinaaraayanan, A Sinha, M Amini, J Rajendran, ...
Conference on Lifelong Learning Agents, 376-398, 2023
7*2023
An approach towards automated navigation of vehicles using overhead cameras
VSC Kumar, A Sinha, PP Mallya, N Nath
2017 IEEE International Conference on Computational Intelligence and …, 2017
62017
Approximate information state based convergence analysis of recurrent Q-learning
E Seyedsalehi, N Akbarzadeh, A Sinha, A Mahajan
arXiv preprint arXiv:2306.05991, 2023
42023
Robustness of Whittle index policy to model approximation
A Sinha, A Mahajan
Available at SSRN 4064507, 2022
42022
Efficient Face Detection Using Neural Networks
A Sinha
International Conference on Computational Intelligence, 279-285, 2015
12015
Asymmetric actor-critic with approximate information state
A Sinha, A Mahajan
2023 62nd IEEE Conference on Decision and Control (CDC), 7810-7816, 2023
2023
Reinforcement learning in partially observable environments using approximate information state
A Sinha
McGill University, 2021
2021
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Articles 1–9