This valuable study describes a simple and robust approach for estimating information-limiting noise by splitting neural populations and comparing estimator values. The authors report more accurate ...

Real-time estimation of vehicle queue lengths at signalized intersections remains a significant challenge, particularly when conventional input–output traffic models fail to capture queues extending ...

ABSTRACT: In this paper, we propose a unification of gradient temporal difference (GTD) learning algorithm GQ( σ,λ ) for off-policy learning. The proposed GQ( σ,λ ) ranges from gradient Tree?Backup( λ ...

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...

Apple, Meta, and Google are locked in a fierce battle to lead the next wave of AI, and they’ve recently increased their focus on hardware. With its latest acquisition of the AI startup Q.ai, Apple ...

ABSTRACT: In response to national needs for strengthening the emergency management system and in fulfillment of the responsibility of higher education institutions in Beijing to cultivate specialized ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

After two decades in Hollywood, the newly married actress decided to step away from Los Angeles after losing her home in a mudslide; now she's starring in one of the only L.A.-centric series on TV. By ...