Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. Think of it like training a dog: every time the dog sits on ...

Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when they think of AI.

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...

In healthcare, making the right decisions is crucial, as professionals face complex choices daily, from diagnosis to treatment planning and resource allocation. Patient care needs strategies that ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

In this work, we ask for and answer what makes classical temporal-difference reinforcement learning with \(\epsilon\)-greedy strategies cooperative. Cooperating in social dilemma situations is vital ...

Someone looking to book a vacation online today might have very different preferences than they did before the COVID-19 pandemic. Instead of flying to an exotic beach, they might feel more comfortable ...

Prof Ambuj Tewari from the University of Michigan explains the origins of reinforcement learning and why it’s so valuable in AI research and development. Understanding intelligence and creating ...

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently You have probably heard about Google DeepMind’s AlphaGo program, ...