Reading up on Slime
2 deep · digging since jan 14
- GitHub - Gen-Verse/OpenClaw-RL: OpenClaw-RL: Train any agent simply by talking
OpenClaw-RL is a fully asynchronous reinforcement learning framework that trains personalized AI agents from natural conversation feedback and supports real-world agentic RL across terminal, GUI, SWE, and tool-call settings.
- GitHub - THUDM/CaRR: This repository contains the code and data for the paper "Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards".
Citation-aware rubric rewards (CaRR) and C-GRPO training improve deep search agents' reasoning quality and factual grounding over standard binary outcome rewards.