SMPE2 augments the MAA2C multi-agent actor-critic with per-agent variational state-belief inference, learnable observation filters, and count-based intrinsic exploration, and reports improved performance on MPE, LBF, and RWARE benchmarks.
Multi-robot cooperation in the martha project
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Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
SMPE2 augments the MAA2C multi-agent actor-critic with per-agent variational state-belief inference, learnable observation filters, and count-based intrinsic exploration, and reports improved performance on MPE, LBF, and RWARE benchmarks.