’ In this article, we explore why reinforcement learning environments are worth knowing about and implement sky-rl on DigitalOcean.’

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Reinforcement learning environments are gaining traction as a way to train LLMs for specific tasks and products. RLVR (Reinforcement Learning from Verifiable Rewards) has proven effective because verifiable rewards in domains like math and code are non-gameable, forcing models to develop genuine problem-solving strategies. Companies are building custom RL environments ("harnesses" or "UI gyms") around their software to train models for specific products. The article walks through implementing SkyRL on DigitalOcean GPU Droplets, covering environment setup, data preparation with GSM8K, GRPO training configuration, and deployment options for single-node or distributed training.

Reinforcement Learning Environments

Reinforcement Learning from Verifiable Rewards