Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/scalable-constrained-multi-agent-reinforcement-learning-via-state-augmentation-and-consensus-for-separable-dynamics

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Proof freshness: stale
Proof status: unverified
Display score: 6/10
Last proof check: 2026-06-01
Score updated: 2026-06-01
Score fresh until: 2026-07-01
References: 0
Source count: 4
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID scalable-constrained-multi-agent-reinforcement-learning-via-state-augmentation-and-consensus-for-separable-dynamics | Route /signal-canvas/scalable-constrained-multi-agent-reinforcement-learning-via-state-augmentation-and-consensus-for-separable-dynamics

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MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

PDF: https://arxiv.org/pdf/2605.30461v1

Repository: https://github.com/goodfeli/dlbook_notation

Source count: 4

Coverage: 50%

Last proof check: 2026-06-01T20:25:41.186Z

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Watch and verify: Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

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Subject: Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics

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