33 citations · 48 across the 3 of their papers we have counts for
3 papers
cs.MA2022★ 8 cited
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
Yitian Hong, Yaochu Jin, Yang Tang
In cooperative multi-agent reinforcement learning, centralized training and decentralized execution (CTDE) has achieved remarkable success. Individual Global Max (IGM) decompositio…
cs.LG2017★ 7 cited
Online Reinforcement Learning in Stochastic Games
Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
We study online reinforcement learning in average-reward stochastic games (SGs). An SG models a two-player zero-sum game in a Markov environment, where state transitions and one-st…
cs.LG2017★ 33 cited
Tracking the Best Expert in Non-stationary Stochastic Environments
Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
We study the dynamic regret of multi-armed bandit and experts problem in non-stationary stochastic environments. We introduce a new parameter , which measures the total statisti…