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 ...
Forbes

Carrot And Stick: How Deep Reinforcement Learning Trains AI Differently

From its earliest days, artificial intelligence (AI) has captivated and enticed the business world with its potential ability to learn not only to imitate humans but to supersede our capabilities. As ...
Singularity Hub

Quantum Computing and Reinforcement Learning Are Joining Forces to Make Faster AI

Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...
Physics World

The pros and cons of reinforcement learning in physical science

Machines that learn like babies: Reinforcement learning expert David Silver speaking at the Heidelberg Laureate Forum on 15 September, 2025. (Courtesy: Bernhard Kreutzer/HLF) Today’s artificial ...
Forbes

Artificial Intelligence: What Is Reinforcement Learning - A Simple Explanation & Practical ...

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...