rl

[ICML-2026] Official implementation of "SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience"

Python library for solving reinforcement learning (RL) problems using generative models (e.g. Diffusion Models).

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

A lightweight Python library that allows any LLM agent to self-improve through feedback, without retraining models.

RLLaVA is a user-friendly framework for multi-modal RL research and optimized for resource-constrained teams.

[AAAI 2026] D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.

🚀 LLM-I: Transform LLMs into natural interleaved multimodal creators! ✨ Tool-use framework supporting image search, generation, code execution & editing

Awesome-HCI （Ubiquitous, LLM, MLLM, Agent, RAG, Embodied-AI, RLHF)

Context & Guide For Reinforcement Learning with Verifiable Rewards with Large Language Models

KONASH: Train knowledge agents that search, retrieve, and reason. Based on KARL (Databricks, 2026).

Source-code level analysis of LLM RL training infra: async RL, weight sync, FP8, MoE routing | LLM RL 训练基础设施源码级分析