HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments

arXiv:2609.15471 · cs.AI, cs.LG · Submitted 2026-09-14 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-14

Updated: 2026-09-14

Code: https://github.com/verl-project/verl

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 47× in this paper · explained in 2 episodes
• GRPO — 34× in this paper · explained in 6 episodes
• Trace — 11× in this paper · explained in 2 episodes
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Core — 6× in this paper · explained in 2 episodes
• Hierarchical Importance-Sampling Policy Optimization — 6× in this paper
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Reasoning Traces — 4× in this paper · explained in 3 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Verifiable Rewards — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Group Sequence Policy Optimization — 2× in this paper
• Institutional Review Board — 2× in this paper
• Provenance — 2× in this paper · explained in 4 episodes
• Proximal Policy Optimization — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Group Sequence Policy Optimization
• Qwen3 Technical Report
• Orchestrating Tokens and Sequences: Dynamic Hybrid Policy Optimization for RLVR
• The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR

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