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Simplified Action Decoder for cooperative learning

Contribution grade

Multi-agent action communication · Human-designed research method or resource

Reference score75,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Exposes an actor's unperturbed greedy action to teammates during centralized training so recurrent agents can decode action information without epsilon-greedy exploration blur; greedy execution removes that side channel at test time.

Scientific scope

Exposes an actor's unperturbed greedy action to teammates during centralized training so recurrent agents can decode action information without epsilon-greedy exploration blur; greedy execution removes that side channel at test time. Implicit recurrent beliefs are not exact Bayesian posteriors. Directly observed actions are the straightforward case; indirectly observed actions require an additional inverse-model extension. Inherited DQN/VDN/distributed training is not newly invented, and reading SAD does not resolve the separately held R2D2 original-source gap.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Implicit recurrent beliefs are not exact Bayesian posteriors. Directly observed actions are the straightforward case; indirectly observed actions require an additional inverse-model extension. Inherited DQN/VDN/distributed training is not newly invented, and reading SAD does not resolve the separately held R2D2 original-source gap.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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