MARL

Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs

Many recent successful off-policy multi-agent reinforcement learning (MARL) algorithms for cooperative partially observable …

Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M. Roijers

Autocurricula and Emergent Sociality from a Gene Perspective

The competitive and cooperative forces of natural selection have driven the evolution of intelligence for many millions of years, …

Andries Rosseau, Raphael Avalos, Ann Nowe

Exploration and Communication for Partially Observable Collaborative Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) enables us to create adaptive agents in challenging environments, even when the agents have …

Raphael Avalos

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning (MARL) enables us to create adaptive agents in challenging environments, even when the agents have …

Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M. Roijers

Multi-agent RMax for Multi-Agent Multi-Armed Bandits

In this paper, we provide PAC bounds for best-arm identification in multi-agent multi-armed bandits (MAMABs), via an algorithm we call …

Eugenio Bargiacchi, Raphael Avalos, Timothy Verstraeten, Pieter Libin, Ann Nowe, Diederik M. Roijers