Abstract: Existing model predictive control (MPC) methods lack online learning capability in complex environments. Reinforcement learning (RL) requires a lot of data and computing resources to obtain ...

A recent grocery run in Brooklyn left me properly confused. When I approached the registers, little coconut waters in hand, two options presented themselves: I could get in the self-checkout line, in ...

Humans are the species with both the greatest capacity for self-sabotage and the greatest capacity for learning. We see evidence of this constantly in everyday life and in world news. In this essay, I ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

In an era where artificial intelligence drives critical business decisions, Nikhil Dodda emphasizes that maintaining machine learning model performance is as crucial as building them. Model deployment ...

The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

Community driven content discussing all aspects of software development from DevOps to design patterns. This exam measures your ability to apply machine learning knowledge in the AWS environment. It ...

Alex Connock does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

When Jace Rossignol was in fifth grade, he was breezing through seventh grade math and scored on an 11th grade reading level in the statewide MCAS exam. His elementary school could not accommodate him ...