17 citations · 31 across the 7 of their papers we have counts for
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cs.MA2021
Status-quo policy gradient in Multi-Agent Reinforcement Learning
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri +4
Individual rationality, which involves maximizing expected individual returns, does not always lead to high-utility individual or group outcomes in multi-agent problems. For instan…
cs.GT2021★ 1 cited
Robustness and sample complexity of model-based MARL for general-sum Markov games
Jayakumar Subramanian, Amit Sinha, Aditya Mahajan
Multi-agent reinforcement learning (MARL) is often modeled using the framework of Markov games (also called stochastic games or dynamic games). Most of the existing literature on M…