RL-Engine-Lab is a transparent, high-performance infrastructure for Reinforcement Learning (RL) post-training. It bridges the gap between high-level alignment algorithms (DPO, GRPO, PPO) and low-level hardware optimizations on both AMD (ROCm) and NVIDIA (CUDA) platforms.
- Hardware-Aware Design: Built-in support for AMD/NVIDIA with automatic backend discovery.
- Inference Optimized: Native integration with vLLM for fast rollout/sampling.
- Alignment Ready: Clean implementations of DPO and GRPO (DeepSeek-style).
- Infra-First: Designed for learning and extending RLHF toolchains (DeepSpeed, Ray, Triton).
Stay hungry, stay infra.