most citedLearning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2022

Distributed gradient-based optimization in the presence of dependent aperiodic communication

Adrian Redder, Arunselvan Ramaswamy, Holger Karl

Iterative distributed optimization algorithms involve multiple agents that communicate with each other, over time, in order to minimize/maximize a global objective. In the presence…