💥太牛了！Agent交互强化学习终于不再“工程地狱”了！HarborRL开源全套框架，真实Coding Agent也能稳稳做RL！
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
💥太牛了！Agent交互强化学习终于不再“工程地狱”了！HarborRL开源全套框架，真实Coding Agent也能稳稳做RL！ 以前训Agent RL最痛苦的不是算法，是轨迹收集、Token对齐、多轮工具调用、策略版本一致性这些工程坑。HarborRL把它们全部打通，做成可复现流水线。 核心亮点 🔹直接复用Harbor沙箱任务（200+，含Terminal-Bench/SWE-Bench等），自带Verifier算Rewar 🔹支持真实Coding Agent多轮Rollout（Claude Code等40+ harness）+ SGLang推理 🔹轨迹严格校验 + 无缝接入Slime/Megatron训练 🔹支持CPU Rollout + GPU Training分离部署 MATH灵活组合：Qwen/GLM × GRPO/DAPO × 200+任务 × 40+ Harness 快速上手 1️⃣uv sync --extra dev 2️⃣uv run harborrl train -model qwen3-8B -harness claude-code -task terminal-bench -alg grpo 3️⃣或用YAML / harborrl web 控制台配置与监控 开源MIT协议。 GitHub：https://github.com/datam
Posted by SuSu_酥酥👅 (24.9k followers) 1 days ago · 62 likes · 4.3k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: harborrl, startlux-decision.git, startlux-decision.
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