arXiv 2610.28069 · cs.SE · 2026-10-20
Training the Whole Agent, Not Just the Model
Lingxiao Tang, Wei Tao, Yiwen Guo, Lingfeng Bao
Tencent
在最新榜 #339 本站收录于 2026-10-25
一句话要点
腾讯的 HarnessAdapt-RL 训练编程 agent 时同时改进框架：冻结教师为错误修复策略生成任务级技能，另一教师演化工具和钩子，只保留能提升通过率的改动。
Tencent's HarnessAdapt-RL adapts the coding agent's harness during RL — one teacher writes task-specific repair skills, another evolves tools and hooks kept only if pass rates improve — so the whole agent is trained, not just the model.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：强化学习
- Waypoint-OPD: Transferring RL-Induced Policy Shifts via Gated On-Policy Distillation ▲214
- Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight ▲189
- LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches ▲152
- Sharpening Tax in Post-Training ▲111
- RULER: Instance-aware Rubric Rewards for SVG Generation ▲104
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence 2026-09-27 · ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents 2026-09-30 · ▲642
- Omni-IO Skills: Harnessing Your Agent Omni-Native 2026-09-25 · ▲485
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business 2026-10-14 · ▲388
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation 2026-10-14 · ▲364
同机构：Tencent
- WeVisOne-VL: Unified Visual Perception from Objects to Pixels 2026-10-22
- Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation 2026-10-22
- Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation 2026-10-21
- Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning 2026-10-16
- Player-1: Learning to Play from Synthetic Experience 2026-10-14
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。