QTRAN value transformation for decentralized cooperative control

What is recorded here?

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

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Scientific scope

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.

Read the original work

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

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People and systems

Kyunghwan Son; Daewoo Kim; Wan Ju Kang; David Hostallero; Yung Yi

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English catalogue narrative