Let’s look at how RL agents are trained to deal with ambiguity, and it may provide a blueprint of leadership lessons to ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

This form of reinforcement learning was also shown to correct for control scenarios like irregular meal timing and compression errors. Offline reinforcement learning (RL) in hybrid closed-loop systems ...

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 ...

This paper is about how robots (in particular, household robots like mobile manipulators) can autonomously acquire skills via ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

An AI-integrated infrastructure framework embeds real-time diagnostics, reinforcement learning, and multi-agent coordination into distributed data platforms. Validated in production, it reduces ...