Yi-Te Hong

most citedRethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning

8 citations · 15 across the 2 of their papers we have counts for

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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

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 $Λ$ , which measures the total statisti…