Raphael Avalos
Raphael Avalos
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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
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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
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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
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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
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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
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