More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
This form of reinforcement learning was also shown to correct for control scenarios like irregular meal timing and compression errors. Offline reinforcement learning (RL) in hybrid closed-loop systems ...
Using a bunch of carrots to train a pony and rider. (Photo by: Education Images/Universal Images Group via Getty Images) Andrew Barto and Richard Sutton are the recipients of the Turing Award for ...
Having spent the last two years building generative AI (GenAI) products for finance, I've noticed that AI teams often struggle to filter useful feedback from users to improve AI responses.
A new research paper proposes geometry adaptive reinforcement learning to reduce peel forces in Digital Light Processing (DLP) resin printing to save fragile features and increase lift success for ...