HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents

arXiv:2605.17873 · cs.LG, cs.AI, cs.CL · Submitted 2026-05-18 · Read on arXiv

cs.LG, cs.AI, cs.CL

Submitted: 2026-05-18

Updated: 2026-10-02

Comments: EMNLP Findings 2026

Code: https://github.com/huggingface/trl

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

Terminology

• Distillation — 38× in this paper · explained in 2 episodes
• Self-distillation — 26× in this paper · explained in 6 episodes
• GRPO — 11× in this paper · explained in 6 episodes
• Analyzer — 6× in this paper · explained in 1 episode
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Sparsity — 3× in this paper · explained in 4 episodes
• Credit assignment — 2× in this paper · explained in 3 episodes
• On-Policy Distillation — 2× in this paper · explained in 3 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Evaluation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Information Asymmetry — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Training Verifiers to Solve Math Word Problems
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Hindsight Credit Assignment for Long-Horizon LLM Agents
• Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
• OpenClaw-RL: Train Any Agent Simply by Talking
• Qwen3 Technical Report
• PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost
• AgentEvolver: Towards Efficient Self-Evolving Agent System

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks