An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Awesome List for Agentic RL

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934

[ICLR 2026] An official implementation of "CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning"

Codes for the paper "BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping" by Zhiheng Xi et al.

Implementation of GradLoc from the Tencent Hunyuan blog "Stabilizing RLVR via Token-level Gradient Diagnosis and Layerwise Clipping".

A curated list of awesome resources about reward construction for AI agents. This repository covers cutting-edge research, and practical guides on defining and collecting rewards to build more intelligent and aligned AI agents.

a Python library that uses Reinforcement Learning (RL) to train LLMs.

Enemies for your LLM

A RL env with procedurally generated symbolic reasoning data

🐝 SwarmBench: Benchmarking LLMs' Swarm Intelligence

This is the official code of DeepSearch [ICLR 2026]

Tinker ↔ KernelBench Integration enabling RL for GPU Kernel Generation

grpo to train long form QA and instructions with long-form reward model

MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs

The official repository of the paper "Do Reasoning Models Enhance Embedding Models?"

[arXiv] "Not All Steps are Informative: On the Linearity of LLMs’ RLVR Training"

A self-distillation based training method for long context reasoning in a single LLM without reinforcement learning

Trinity-Mini-DrugProt-Think