Multi-Agent Learning - Groups

Hanabi

The Hanabi dataset is a multi-agent learning challenge for AI research. It is a cooperative game of imperfect information for two to five players, where players must coordinate...

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Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

A two-level hierarchical multi-agent reinforcement learning algorithm with unsupervised skill discovery for fully cooperative multi-agent settings.

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Primal: Pathfinding via reinforcement and imitation multi-agent learning

Primal: Pathfinding via reinforcement and imitation multi-agent learning.

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3 datasets found

Hanabi

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery

Primal: Pathfinding via reinforcement and imitation multi-agent learning