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🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

RL observability for LLM agents: behavior maps, native trainer metrics, rollout investigations, and Python/SQL analysis.

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning

A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

Official implementation of WHALE (Weight-Harness Alternating Learning)

[ICLR 2026] Agentic Reinforced Policy Optimization (ARPO)

verl for a single consumer GPU. PPO, GRPO and on-policy distillation on NVIDIA GPUs.

Code-only runtime toolkit for cost-aware multi-agent organization and control

Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.