Robert Kopp, a professor in the Department of Earth and Planetary Sciences, alongside collaborators at Princeton University, ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...

Animal trainers know that animal behavior can be influenced by rewarding desirable behaviors. A dog trainer gives the dog a treat when it does a trick correctly. This reinforces the behavior, and the ...

Unlike typical AI systems that thrive on large, fast-evolving datasets, agriculture presents unique constraints. Plant growth ...

Abstract: This paper presents an explainable deep-reinforcement learning (DRL)-based safety-aware optimal adaptive tracking (SOAT) scheme for a class of nonlinear discrete-time (DT) affine systems ...

With this transition information, the system can better estimate the states to assist the decision making." The new reinforcement learning framework Teng and his colleagues developed could soon open ...

Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for complex tasks. However, the research ...