(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...

Vrije Universiteit Brussel researchers led efforts to improve deep reinforcement learning (RL) for liquid chromatography (LC) ...

and multi-agent reinforcement learning methods. The experimental results were promising. The IPPO method outperformed the other methods in terms of convergence and solution quality. It achieved ...

AUSTIN, TX AND ROUND ROCK, TX / ACCESS Newswire / March 19, 2025 / Venkata Sai Swaroop Reddy's groundbreaking IEEE research ...

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...

The report outlines how IoT devices, from RFID tags and GPS trackers to smart shelves and robotic pickers, are increasingly ...

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in ...

Separately, Databricks said it has found a new fine-tuning method that leverages Test-time Adaptive Optimization, a type of ...

As artificial intelligence continues to evolve at an unprecedented pace, a new organization has emerged to address one of the ...