Fox 5 San Diego

AgiBot Achieves First Real-World Deployment of Reinforcement Learning in Industrial Robotics

SHANGHAI, Nov. 2, 2025 /PRNewswire/ -- AgiBot, a robotics company specializing in embodied intelligence, announced a key milestone with the successful deployment of its Real-World Reinforcement ...
marktechpost

How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3

In this tutorial, we explore advanced applications of Stable-Baselines3 in reinforcement learning. We design a fully functional, custom trading environment, integrate multiple algorithms such as PPO ...
IEEE

Proof-of-Concept of a Reinforcement-Learning Based RT Shimming Technique for HTS Magnets

Abstract: We report a newly developed room-temperature (RT) shimming method for high-temperature superconducting (HTS) magnets employing a deep Q-network (DQN), a type of reinforcement learning theory ...
TechRepublic

reinforcement learning

AI researchers David Silver and Richard S. Sutton’s book builds on their Google DeepMind project AlphaProof. TechRepublic Get the web's best business technology news, tutorials, reviews, trends, and ...
Scientific Research Publishing

Kostrikov, I., Nair, A. and Levine, S. (2021) Offline Reinforcement Learning with Implicit Q-Learning. arXiv: 2110.06169.

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...