Tag: reinforcement learning

Researchers trained a deep reinforcement learning agent to plan collision-free paths for a fuel-saving free-floating space manipulator, even with noisy ...

A new review argues that human-centric digital twins must deliver measurable benefits to factory workers in safety, ergonomics and wellbeing, ...

A new perspective in Frontiers in Neurorobotics proposes that humanoid robots could unlock embodiment-dependent neural signals, such as touch and ...

The architecture of cloud radio access networks fundamentally reshapes where computational intelligence lives in a cellular system. In a conventional ...

A comprehensive new review traces how diffusion models, the generative engines behind modern image synthesis, have become the dominant force ...

Researchers at the University of Ottawa have developed a dual-agent reinforcement learning framework that values soccer actions by modeling both ...

Researchers embedded Hilbert space-filling curve priors into reinforcement learning, boosting multi-robot ecological survey coverage from 0.589 to 0.895 with DQN ...

Reinforcement learning and swarm intelligence combine to let cloud systems re-provision resources on the fly as workflows change mid-execution, outperforming ...

A systematic review of thirteen studies shows that brain signals called error-related potentials can be decoded to help robots detect ...

A University of Manchester team has built an AI workflow that combines stakeholder weights, Bayesian deep learning and reinforcement learning ...