Multi-Agent Reinforcement Learning - Groups

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.

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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.

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Complex Topology

Packet routing environments for cooperative multi-agent reinforcement learning

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Moderate Topology

Packet routing environments for cooperative multi-agent reinforcement learning

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Simple Topology

Packet routing environments for cooperative multi-agent reinforcement learning

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Packet Routing Domain

Packet routing environments for cooperative multi-agent reinforcement learning

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COGMENT

The proposed solution is divided into two main components: leverage human-MARL teaming framework, called COGMENT, to handle the collaboration between human and multiple RL-based...

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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...

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8 datasets found