Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...
Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Machine Unlearning Authors, Creators & Presenters: hen Gong (University of Vriginia), Kecen Li (Chinese Academy of Sciences), ...
What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...
Although machine learning is an integral component of Artificial Intelligence, it’s critical to realize that it’s just one of the many dimensions of this collection of technologies. Expressions of ...
Reinforcement learning (RL) represents a paradigm shift in smart building energy management by enabling systems to dynamically adapt to changing environmental conditions and occupant behaviours.
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...