Newly announced reinforcement learning with calibrated decisions (RLCD) is mindfully unpacked. An AI Insider analysis and scoop.

Even if you remember it as "whether there is a teacher or not," you might still get confused by the options in a question. It ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions. Reinforcement learning is based on rewarding desired behaviors and punishing ...

Reinforcement learning from human feedback (RLHF) is a machine learning (ML) approach that combines reinforcement learning techniques, such as rewards and comparisons, with human guidance to train an ...

The giants of enterprise technology — Microsoft, ServiceNow, Salesforce, and others — have spent the past year and a half unveiling various kinds of artificial intelligence agents, programs that can ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...

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 ...

Reinforcement learning engineers and researchers often systematically underestimate the importance of the decision to "define ...