Tag: reinforcement learning

An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 injection losses from ...

A new scoping review of 130 studies finds that reinforcement learning for long-horizon robotic manipulation is dominated by hierarchical methods, ...

An open-source simulation framework called T-REX exposes how reinforcement learning traffic signal controllers falter under lane-blocking incidents, revealing that no ...

A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query latency on ...

A position paper argues that robots' direct, unmediated coupling with the physical world makes human-centered AI and robotics a distinct ...

A new open access survey reviews AI methods for operating power grids with high penetration of distributed energy resources and ...

A new open-access study reports that a multi-agent reinforcement learning framework combined with bio-inspired hyperparameter optimization outperformed comparison models on ...

Researchers trained a reinforcement learning controller entirely on a neural-operator digital twin and deployed it on the MuVacAS vacuum prototype ...

A systematic review of 78 papers examines how machine learning methods support demand forecasting and inventory decision-making.

A new VR and reinforcement learning framework predicts student knowledge mastery with up to 96.8 percent accuracy and adjusts teaching ...