As a result of the world’s ever-rising carbon emissions, the Earth is increasingly likely to require direct carbon dioxide ...

Wastewater treatment is energy-intensive, with aeration and pumping among the largest cost drivers. The review details how AI ...

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 ...

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are ...

Top-down design of protein architectures with reinforcement learning. Science, 2023; 380 (6642): 266 DOI: 10.1126/science.adf6591 ...

A new study published in Nature Communications provides evidence that the brain chemical dopamine plays a sophisticated, dual ...

Adaptive CVgen: Leveraging reinforcement learning for advanced sampling in protein folding and chemical reactions Journal: Proceedings of the National Academy of Sciences of the United States of ...

Reinforcement learning has been around for decades, but for a while it seemed like a dead end. One of your old advisers in fact told me that she tried to dissuade you from working on it.

But another kind of AI — deep reinforcement learning — is strategic. It learns how to take a series of actions in order to reach a goal.

The system used reinforcement learning to quickly understand how to play Go and was able to beat the world champion, Lee Sedol, in 2016 (the game has more potential moves than the number of atoms ...