THUDM/slime
slime is an LLM post-training framework for RL Scaling.
OpenClaw-RL: Train any agent simply by talking
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slime is an LLM post-training framework for RL Scaling.
Democratizing Reinforcement Learning for LLMs
A live stream development of RL tunning for LLM agents
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)