Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training

stale

Proof freshness: stale
Proof status: verified
Display score: 6/10
Last proof check: 2026-05-13
Score updated: 2026-05-13
Score fresh until: 2026-06-12
References: 0
Source count: 4
Coverage: 83%

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 trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training | Route /signal-canvas/trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training",
    "query_text": "Summarize Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training",
  "normalized_query": "2605.12380",
  "route": "/signal-canvas/trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training",
  "paper_ref": "trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

PDF: https://arxiv.org/pdf/2605.12380v1

Repository: https://github.com/FeynRL-project/FeynRL

Source count: 4

Coverage: 83%

Last proof check: 2026-05-13T20:36:11.393Z

Signal Canvas receipt window

Watch and verify: Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

/buildability/trust-the-batch-on-or-off-policy-adaptive-policy-optimization-for-rl-post-training

Watchwatch

Subject: Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

Verdict

Watch

Trust the Batch, On- or Off-Policy: Adaptive Policy Optimization for RL Post-Training

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Use this Signal Canvas via API or MCP

Signal Canvas proof surface