This equation captures one of the core mathematical components of the system. At time t, the agent observes a state st ∈S, samples an action
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Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving explores A novel multi-agent reinforcement learning framework for cooperative driving that significantly improves safety and efficiency by stabilizing online fine-tuning of diffusion planners.. Commercial viability score: 7/10 in Autonomous Driving.
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Page Freshness
Canonical route: /paper/multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving | Route /paper/multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-drivingMCP example
{
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}Paper proof page receipt window
/buildability/multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving
Subject: Multi-ORFT: Stable Online Reinforcement Fine-Tuning for Multi-Agent Diffusion Planning in Cooperative Driving
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
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Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. At time t, the agent observes a state st ∈S, samples an action
Page and bbox are available; crop image is pending.
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Receipt path
/buildability/multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving
Paper ref
multi-orft-stable-online-reinforcement-fine-tuning-for-multi-agent-diffusion-planning-in-cooperative-driving
arXiv id
2604.11734
Generated at
2026-04-14T16:48:32.364Z
Evidence freshness
stale
Last verification
2026-04-14T16:48:32.364Z
Sources
3
References
0
Coverage
50%
Lineage hash
1eafac971850519bc30f22855f8285b9b7fd18eaad230f6788859554557bba61
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation defines the score or evaluation function that determines model quality.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. Here, βk ∈(0, 1) is a predefined noise schedule, αk = 1−βk
Page and bbox are available; crop image is pending.
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