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Asymmetric Multiagent Reinforcement Learning: The MATE Benchmark
Multiagent Reinforcement Learning (MARL) is increasingly critical for real-world applications, yet benchmarking environments that capture the complexities of these scenarios remain a challenge. The Multi-Agent Tracking Environment (MATE) introduces a…