Reinforcement Learning Environments for AI Agents Are Rapidly Evolving, With Smarter Verifiers and Cheaper Infrastructure Reshaping What Models Can Learn
Reinforcement learning environments for AI agents are rapidly evolving, with smarter verifier designs, automated generation dropping costs to just $4 per environment, and emerging standards like Open Reward decoupling infrastructure from training — fundamentally reshaping what large language models can learn to do.