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02/27/2023
Safe Multi-agent Learning via Trapping Regions
One of the main challenges of multi-agent learning lies in establishing ...
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07/28/2022
RangL: A Reinforcement Learning Competition Platform
The RangL project hosted by The Alan Turing Institute aims to encourage ...
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01/29/2021
Poincaré-Bendixson Limit Sets in Multi-Agent Learning
A key challenge of evolutionary game theory and multi-agent learning is ...
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03/19/2020
Decentralized MCTS via Learned Teammate Models
A key difficulty of cooperative decentralized planning lies in making ac...
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11/18/2019