181 citations · 321 across the 23 of their papers we have counts for
3 papers · 1 filter
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games
Muhammed O. Sayin, K. Alperen Cetiner
We analyze the convergence properties of the two-timescale fictitious play combining the classical fictitious play with the Q-learning for two-player zero-sum stochastic games with…
Independent Learning in Stochastic Games
Asuman Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang
Reinforcement learning (RL) has recently achieved tremendous successes in many artificial intelligence applications. Many of the forefront applications of RL involve multiple agent…
Decentralized Q-Learning in Zero-sum Markov Games
Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie +2
We study multi-agent reinforcement learning (MARL) in infinite-horizon discounted zero-sum Markov games. We focus on the practical but challenging setting of decentralized MARL, wh…