Multi-Agent Reinforcement Learning - Groups

MADDPG dataset

The dataset used in this paper is a set of nine MARL tasks across two environments, with a focus on co-operative contexts.

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Multi-Agent Particle Environment and Google Research Football Environment

Multi-agent particle environment and Google Research football environment.

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ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Modern multi-agent reinforcement learning frameworks rely on centralized training and reward shaping to perform well. However, centralized training and dense rewards are not...

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Google Research Football

The Google Research Football environment is a reinforcement learning experimental platform focused on training agents to play football.

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Multi-Agent Particle Environment

The Multi-Agent Particle Environment is a medium-size collaborative problem where a defensive escort team of agents is learning to maintain an optimal formation around the VIP...

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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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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Multi-agent environments for training and testing the proposed Multi-Agent Actor-Critic (MAAC) algorithm.

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27 datasets found