Models of many real-life applications, such as queuing models of
communi...
This paper presents OpenGridGym, an open-source Python-based package tha...
We study learning-based admission control for a classical Erlang-B block...
Multi-agent reinforcement learning (MARL) problems are challenging due t...
Due to information asymmetry, finding optimal policies for Decentralized...
We analyze a class of stochastic dynamic games among teams with asymmetr...
We devise and analyze algorithms for the empirical policy evaluation pro...
Given a lazy, reversible Markov chain with n states and transition matri...
In recent years, people have increasingly turned to social networks like...
This work studies sequential social learning (also known as Bayesian
obs...
We consider the problem of how strategic users with asymmetric informati...
Many systems, including the Internet, social networks, and the power gri...
We consider a general small-scale market for agent-to-agent resource sha...
We consider the problem of streaming live content to a cluster of co-loc...