Nature

Multi-Objective Reinforcement Learning

Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...
来自MSN

AGIBOT achieves deployment of real world reinforcement learning in industrial robotics

AGIBOT deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, ...
EurekAlert!

Reinforcement learning world models for catalyst surface reconstruction: state-of-the-art ...

This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
来自MSN

Reinforcement learning session gathers experts

An intensive programme on reinforcement learning, brought together 60 international participants including students, researchers and industry practitioners to the Sungai Long campus of Universiti ...