Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL adapts ...
One way AI can improve on human work Computer scientists at UC Berkeley say that AI models show promise as a way to discover ...
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 ...
Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...