Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

F or high performance chips in massive data centers, math can be the enemy. Thanks to the sheer scale of calculations going on in hyperscale data centers, operating round the cloc ...

Reinforcement Learning (RL) and Computer Vision (CV) are no longer emerging technologies on the horizon—they’re already ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

Researchers from Stanford University and Google DeepMind have unveiled Step-Wise Reinforcement Learning (SWiRL), a technique ...

The rapid expansion of AI and machine learning into everyday life has made it critical for students to gain foundational ...

At the post-race exhibition, the new generation Tiangong 2.0 was unveiled. Compared with its predecessor, Tiangong 2.0 ...

However, what if there were a way to turbocharge the traditional drill into a leadership development and skill refinement ...

Abstract: While unmanned aerial vehicles (UAVs) with flexible mobility are envisioned to enhance physical layer security in wireless communications, the efficient security design that ... proposing a ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.