Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning
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DOI: 10.1109/tac.2020.3026269
Abstract: Asynchronous stochastic approximations (SAs) are an important class of model-free algorithms, tools, and techniques that are popular in multiagent and distributed control scenarios. To counter Bellman's curse of dimensionality, such algorithms are coupled with function… read more here.
Keywords: approximations asymptotically; asynchronous stochastic; approximation errors; multiagent ... See more keywords