Instead of Complaining About Agents, Adapt Your Project to Their Training Env
gandamu_ml · x · 2026-07-31
A developer reflects that instead of lamenting how ML agents excel at RL training tasks but flub real-world problems, it's better to adapt and massage your project to resemble the environments they were trained in. While working faster, one should also continue to recognize and attack the models' inherent limitations.
Related event: Adapt Project Environments to Fit ML Agents, Developers Advise(2 posts)→
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