12 citations · 26 across the 7 of their papers we have counts for
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cs.LG2021★ 3 cited
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
Carlo Alfano, Patrick Rebeschini
Cooperative multi-agent reinforcement learning is a decentralized paradigm in sequential decision making where agents distributed over a network iteratively collaborate with neighb…
cs.LG2018
Decentralized Cooperative Stochastic Bandits
David Martínez-Rubio, Varun Kanade, Patrick Rebeschini
We study a decentralized cooperative stochastic multi-armed bandit problem with arms on a network of agents. In our model, the reward distribution of each arm is the same f…
cs.LG2018
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent
Dominic Richards, Patrick Rebeschini
We propose graph-dependent implicit regularisation strategies for distributed stochastic subgradient descent (Distributed SGD) for convex problems in multi-agent learning. Under th…