Computer Science and Automation, Indian Institute of Science, Bengaluru, Karnataka 560012, India; Electrical and Computer Engineering, University of Wisconsin at Madison, Madison, WI 53706, USA
Gugan Chandrashekhar Thoppe, Bhumesh Kumar
multi-agent;distributed;stochastic approximation;almost sure;convergence rates;row stochastic;gossip;law of iterated logarithm;concentration;martingale
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning