New method lets robots adapt to curved objects, transferring skills like peeling and slicing across varied shapes with ...

MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence estimates alongside answers, reducing overconfidence by up to 90% without ...

Japanese electronics giant Sony built the robotic arm it calls Ace and pitted it against professional athletes. Ace proved a ...

The robot learned how to play the sport using an AI method called reinforcement learning.

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Abstract: Reinforcement learning methods for manipulator trajectory generation often suffer from low sample efficiency and inadequate exploration. To address this issue, an efficient expert guidance ...

Abstract: Autonomous underwater vehicles (AUVs) have gained widespread attention in the ocean exploration industry, and multi-agent reinforcement learning (MARL) method with centralized training and ...

Macy is a writer on the AI Team. She covers how AI is changing daily life and how to make the most of it. This includes writing about consumer AI products and their real-world impact, from ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

Download PDF Join the Discussion View in the ACM Digital Library Deep reinforcement learning (DRL) has elevated RL to complex environments by employing neural network representations of policies. 1 It ...