Modern RL Post-training Infrastructure: Optimized for NVIDIA/AMD GPUs with a focus on vLLM and DeepSpeed integration, CUDA/ROCm/Triton kernels, and transparent hardware-aware scaling.

An AI skill pack for value investing, capital allocation, and behavioral discipline, distilled from Warren Buffett's 60+ years of shareholder letters.

Jobs scraper library for LinkedIn, Indeed, Glassdoor, Google, ZipRecruiter & more

AI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。

A curated collection of papers and resources on On-Policy Distillation for Large Language Models.

你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式——心智模型、决策启发式、表达DNA。Distill how anyone thinks.

RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios

OpenClaw-RL: Train any agent simply by talking

Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.

AI agents running research on single-GPU nanochat training automatically

A Foundation Model for Generalist Gaming Agents

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…

[ICLR2026] This is the first paper to explore how to effectively use R1-like RL for MLLMs and introduce Vision-R1, a reasoning MLLM that leverages cold-start initialization and RL training to incen…

Ultralytics YOLO 🚀

Official implementation of GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization

[NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards

slime is an LLM post-training framework for RL Scaling.

Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL

A curated list of reinforcement learning (RL) for agents.

The official repo for "Vidi: Large Multimodal Models for Video Understanding and Editing"

P1: Mastering Physics Olympiads with Reinforcement Learning

A curated guide to Generative Engine Optimization (GEO) resources: guides, tools & research to boost visibility in AI-powered search engines.

Awesome list for research on GEO (Generative Engine Optimization)

A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)

Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。