Automatic Generation of High-Performance RL Environments

Seth Karten, Rahul Dev Appapogu, Chi Jin|March 12, 2026arXiv

Key Takeaway

AI agents can now automatically translate RL environments into optimized implementations (Rust, JAX, GPU-parallel code) in hours instead of months, with built-in verification ensuring the fast version behaves identically to the original.

Summary

This paper shows how to automatically generate high-performance RL environments using AI agents with a generic prompt template, verification checks, and iterative repair.

agents efficiency training

Key Terms

reinforcement-learning semantic-equivalence hierarchical-verification sim-to-sim-gap throughput