most citedMAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 3 cited

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning

Mikayel Samvelyan, Akbir Khan, Michael Dennis +5

Open-ended learning methods that automatically generate a curriculum of increasingly challenging tasks serve as a promising avenue toward generally capable reinforcement learning a…