Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: The problem of reinforcement learning (RL)-based fuzzy control for nonlinear systems with unknown dynamics via parallel composite policy iteration (PCPI) scheme is studied in this article.

Abstract: This article introduces an innovative approach to simultaneously estimate time-domain and spatiotemporal faults in nonlinear distributed parameter systems (NDPSs)nonlinear distributed ...

The idea: tell Codex what you want to improve, then walk away. It modifies your code, verifies the result, keeps or discards, and repeats. You come back to a log of experiments and a better codebase.

Run PF-CLM single-column simulations at any Ameriflux site using improved CLM physics (Medlyn stomata, CLM5 tanh interception, canopy clumping). Compare modeled latent heat against tower observations.