Co-Evolution of Policy and Internal Reward for Language Agents explores Develops a novel self-generated internal reward system for LLM agents to improve long-horizon decision-making and policy optimization.. Commercial viability score: 7/10 in Agents.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/co-evolution-of-policy-and-internal-reward-for-language-agents
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 co-evolution-of-policy-and-internal-reward-for-language-agents | Route /paper/co-evolution-of-policy-and-internal-reward-for-language-agents
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/co-evolution-of-policy-and-internal-reward-for-language-agentsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.03098"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Co-Evolution of Policy and Internal Reward for Language Agents",
"normalized_query": "2604.03098",
"route": "/paper/co-evolution-of-policy-and-internal-reward-for-language-agents",
"paper_ref": "co-evolution-of-policy-and-internal-reward-for-language-agents",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
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Preparing verified analysis
Dimensions overall score 7.0
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References are not available from the internal index yet.