Massive Parallel Deep Reinforcement Learning for Active SLAM

Massive Parallel Deep Reinforcement Learning for Active SLAM | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/massive-parallel-deep-reinforcement-learning-for-active-slam

stale

Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-03-30
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 25
Source count: 3
Coverage: 50%

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 massive-parallel-deep-reinforcement-learning-for-active-slam | Route /signal-canvas/massive-parallel-deep-reinforcement-learning-for-active-slam

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/massive-parallel-deep-reinforcement-learning-for-active-slam

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "massive-parallel-deep-reinforcement-learning-for-active-slam",
    "query_text": "Summarize Massive Parallel Deep Reinforcement Learning for Active SLAM"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Massive Parallel Deep Reinforcement Learning for Active SLAM",
  "normalized_query": "2603.25834",
  "route": "/signal-canvas/massive-parallel-deep-reinforcement-learning-for-active-slam",
  "paper_ref": "massive-parallel-deep-reinforcement-learning-for-active-slam",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: 25

Proof: Verification pending

Freshness state: computing

Source paper: Massive Parallel Deep Reinforcement Learning for Active SLAM

PDF: https://arxiv.org/pdf/2603.25834v1

Source count: 3

Coverage: 50%

Last proof check: 2026-03-30T21:59:22.670Z

Signal Canvas receipt window

Not build-ready: Massive Parallel Deep Reinforcement Learning for Active SLAM

/buildability/massive-parallel-deep-reinforcement-learning-for-active-slam

Ignoreblocked

Subject: Massive Parallel Deep Reinforcement Learning for Active SLAM

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Time to first demo

Massive Parallel Deep Reinforcement Learning for Active SLAM

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