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QTRAN value transformation for decentralized cooperative control

Contribution grade

Cooperative multi-agent reinforcement learning · Human-designed research method or resource

Reference score115,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Transforms joint values through individual-global-max consistency constraints to permit decentralized maximization beyond additive or monotonic value decompositions.

Scientific scope

Transforms joint values through individual-global-max consistency constraints to permit decentralized maximization beyond additive or monotonic value decompositions. The factorizable/IGM class is not every joint action-value function. Practical soft constraint losses and shared function approximation do not guarantee exact feasibility or global optimality.

Evidence

The linked original sources describe this contribution and its evidence limits. WRS has not independently reconstructed the full scientific claims. The factorizable/IGM class is not every joint action-value function. Practical soft constraint losses and shared function approximation do not guarantee exact feasibility or global optimality.

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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