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arXiv cs.AI·

Automatic Generation of High-Performance RL Environments

Signal
78
Hype
25
In three linesAutomated methodology to generate high-performance RL environments using generic prompts, hierarchical verification, and cross-backend policy transfer. Demonstrated on 5 environments (PyBoy→EmuRust, Pokemon Showdown→PokeJAX, new TCGJax). Overhead <4% at 200M parameters.
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Reinforcement learningCode generationBenchmarksOpen source

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