A.I. and spell-check make choices for writers. With real, physical dictionaries, writers are empowered to decide how to ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

This paper proposes a new framework for simulating spoken-language acquisition by combining reinforcement learning and unsupervised learning methods. Our experiments also show that a spoken language ...

Their work shows that the RL-based objective employed by present approaches can be optimized exactly with a simple binary cross-entropy objective, considerably streamlining the preference learning ...

To make a reinforcement learning program for protein design, the scientists gave the computer millions of simple starting molecules.

Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.

In recent years, the use of machine learning techniques in financial markets, particularly in stock trading, has garnered considerable attention from both academia and practitioners. Researchers have ...