Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms

1 Jan 2021 Anonymous

We benchmark commonly used multi-agent deep reinforcement learning (MARL) algorithms on a variety of cooperative multi-agent games. While there has been significant innovation in MARL algorithms, algorithms tend to be tested and tuned on a single domain and their average performance across multiple domains is less characterized... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
PPO
Policy Gradient Methods