Tech Xplore on MSN

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...
JSTOR Daily

Fast reinforcement learning with generalized policy updates

The combination of reinforcement learning with deep learning is a promising approach to tackle important sequential decision-making problems that are currently intractable. One obstacle to overcome is ...
VentureBeat

Google researchers improve reinforcement learning by having their AI play Pong

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Deep reinforcement learning — an AI training technique that employs ...
International Monetary Fund

Reinforcement Learning from Experience Feedback: Application to Economic Policy

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...
i-SCOOP

Experiential Reinforcement Learning

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...
Robohub

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

This paper is about how robots (in particular, household robots like mobile manipulators) can autonomously acquire skills via ...

Leadership Amid Uncertainty: CEOs Can Learn Effective Decision Making From Reinforcement Learning

Let’s look at how RL agents are trained to deal with ambiguity, and it may provide a blueprint of leadership lessons to ...