GitHub - Gen-Verse/OpenClaw-RL: OpenClaw-RL: Train any agent simply by talking

kept by eddie mar 13

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.
also on Slime, #ai-agents, #open-source
Learning to Replicate Expert Judgment in Financial Tasks - Thinking Machines Lab
Thinking Machines Lab fine-tuned a custom model on expert-labeled financial data to outperform frontier LLMs on information-filtering tasks at lower cost.
also on Tinker, #machine-learning
joke-generator
Training a joke generator on Kimi K2 using rubric-based RL that decomposes humor into verifiable properties like specificity and commitment.
also on Tinker, #machine-learning
Cursor admits its new coding model was built on top of Moonshot AI’s Kimi
Cursor admitted its new coding model Composer 2 was built on Moonshot AI's open-source Kimi model, sparking scrutiny over transparency and US-China AI tensions.
also on Fireworks AI, #open-source, #developer-tools
Why Open-Source Models Haven't Killed the Big Dogs
Open-source models remain costlier to serve reliably due to infrastructure, utilization, and operational overhead, making hosted APIs from OpenAI and Anthropic more economical despite free model weights.
also on Fireworks AI, #developer-tools