The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

Research team from Nanjing University proposed FOCUS, a causal model-based offline RL algorithm, which uses causal structure ...

Beyond high performance, the RL framework’s main advantage lies in its real-time application potential. Once trained, the ...

In this modern era, Reinforcement Learning (RL) has evolved from theoretical research to a transformative force driving significant changes in industrial applications. Debu Sinha, a recognized ...

Portions of this essay were written with the deliberate assistance of the Google Gemini large language model.

Research team introduced clustered reinforcement learning (CRL), a novel RL framework for efficient exploration in large state spaces or sparse ...

Prime Intellect has released INTELLECT-2, a 32 billion parameter language model trained using fully asynchronous ...

The latest addition is the Phi-4 Reasoning — a 14 billion-parameter model built by applying a supervised fine-tuning (SFT) algorithm to the Phi-4 base model. The researchers also derived the Phi-4 ...

One of the researchers highlighted three subjects students should study for technical depth.

Animal research has always walked a tightrope between necessity and controversy. It has yielded critical breakthroughs in ...