Chinese robotics player AGIBOT has open-sourced its WORLD 2026 dataset, which focuses on reinforcement ...

For Fei Xue, the connection between AI and computing infrastructure is becoming a central theme not just in his engineering career but in his research endeavors as well. Rather than thinking about AI ...

Anthropic reward hacking research confirms flawed RL training produced Hacker-Opus, an AI model that attacked real systems ...

Xiaowen Gong was recently awarded $300,000 by the National Science Foundation for his three-year study, “Federated ...

The robotics sector is undergoing a transformative open-source revolution, driven by Hugging Face’s ambitious vision to ...

How agents acquire abstract concepts from sparse, diverse examples—often without explicit supervision—remains a central ...

End-to-end optimization often rewards specialized AI modules for cheating. Role Anchor is a new method that forces models to stay in their lanes and avoid drifting from their roles.

Training an animal on a complex task is often a painstaking, incremental process. This is because conventional behavioral learning protocols focus on minimizing reward to maximize trials. Gong et al.

ABSTRACT: Bipolar disorder (BD) is closely intertwined with abnormalities in sleep and circadian regulation, yet current clinical management typically applies heuristic rules rather than optimizing ...

Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says ...

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 ...

ABSTRACT: Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most ...