A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

This is largely due to the fact that current LLMs often struggle with complex code, multi-step logic, and abstract tasks, frequently exhibiting logical leaps, disorganized steps, and irrelevant ...

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 ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans, animals, and AI, and future directions of research.

After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world. The Quanta Newsletter ...

CoreWeave said it will acquire OpenPipe, a Bellevue, Wash.-based startup that helps developers train AI agents using ...

Wanshen Technology Co., Ltd. recently announced that its patent titled "An AI Intelligent Collaborative Control Method Based on IQL Algorithm" has been authorized by the National Intellectual Property ...

Reinforcement learning, a subfield of ML, enables intelligent agents to learn optimal behaviour by rewarding and punishing.