Training in Larger Env Simulations: The Need for Harmonious RL Environments
scaling01 · x · 2026-09-01
The author discusses training models in larger environments, potentially up to a whole world simulation. While current RL training batches numerous environments, balancing the mix is described as modern alchemy. The author suggests that viewing all environments as a whole and ensuring consistency (avoiding contradictions) could yield greater gains.
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