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News/Reinforcement Learning for Hierarchical Reasoning Rewards: Minimax-Optimal Rates with Transformers
arxiv
PublishedOctober 7, 2026 at 4:00 AM

Reinforcement Learning for Hierarchical Reasoning Rewards: Minimax-Optimal Rates with Transformers

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arXiv:2610.08561v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a standard tool for post-training language models on reasoning tasks, where the policy is updated by reward feedback while exploring the space of responses. Despite its empirical success, theoretical understanding

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