Our library for RL environments + evals
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Agentic RL Training at Scale
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
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)
Simple RL training for reasoning
