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Multi-Agent Reinforcement Learning
The dataset used in the paper is a collection of 21 diverse multi-agent tasks in four environments: level-based foraging, boulder-push, multi-robot warehouse, and multi-agent... -
Level-based Foraging
The dataset used in the paper is a multi-agent environment, where agents need to communicate with each other to achieve a common goal. -
TrafficJunction
The dataset used in the paper is a multi-agent environment, where agents need to communicate with each other to achieve a common goal. -
PredatorPrey
The dataset used in the paper is a multi-agent environment, where agents need to communicate with each other to achieve a common goal.