pith:3RCJZ5ZK
Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games
Strat-Reasoner improves LLM performance in multi-agent games by 22.1 percent through recursive modeling of other agents' reasoning and group-relative reinforcement learning.
arxiv:2605.04906 v2 · 2026-05-06 · cs.AI
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Claims
Experimental results show that Strat-Reasoner substantially improves strategic abilities of underlying LLMs, achieving 22.1% average performance improvements across various multi-agent games.
That the centralized Chain-of-Thought comparison module supplies unbiased, effective reward signals for intermediate reasoning sequences without introducing evaluation circularity or requiring hand-tuned thresholds that favor the proposed method.
Strat-Reasoner boosts LLMs' strategic performance in multi-agent games by 22.1% on average via recursive reasoning that includes other agents' thought processes and a centralized CoT evaluator for intermediate rewards.
Formal links
Receipt and verification
| First computed | 2026-05-26T02:04:12.138521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc449cf72a4e2c8a9ee91c407f481abb36f918b2c16267b105322c89e6a60d55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3RCJZ5ZKJYWIVHXJDRAH6SA2XM \
| jq -c '.canonical_record' \
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Canonical record JSON
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