New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Semiconductor Engineering

More Efficient Matrix-Multiplication Algorithms with Reinforcement Learning (DeepMind)

A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, real-world environments.
Yale School of Management

Joint-Degree Spotlight: Building Human-Centered Technology

Shantanu Kumar ’26, the first student to enroll in SOM’s joint-degree program with the Yale School of Engineering & Applied ...
techtimes

Researchers Improve EV Charging Using Reinforcement Learning Algorithm

Researchers at the US Department of Energy's Argonne National Laboratory and the University of Chicago are embarking on an innovative project to revolutionize electric vehicle (EV) charging. With the ...
Science News

A look under the hood of DeepSeek’s AI models doesn’t provide all the answers

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...