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StarCraft II unit micromanagement benchmark
The dataset used in the paper is a multi-agent reinforcement learning dataset, where agents learn to coordinate their actions to achieve a common goal. -
Simultaneous Move Games via Equilibrium Approximation
The dataset used in the paper is a stochastic game, specifically a simultaneous-move game, with multiple agents and a finite horizon. -
Complex Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Moderate Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Simple Topology
Packet routing environments for cooperative multi-agent reinforcement learning -
Packet Routing Domain
Packet routing environments for cooperative multi-agent reinforcement learning -
Defensive Escort Team Problem
The defensive escort team problem is a challenging dual-reward collaborative MARL problem where a group of learning agents have to simultaneously learn to maximize the...
