Reinforcement learning (RL) and latent world models are emerging as promising tools for modeling complex atomic level changes ...

Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning. Journal of NeuroEngineering and Rehabilitation, 2023; 20 (1 ...

Renewable energy sources like solar and wind are inherently intermittent and unpredictable, making it difficult for grid ...

Scalable Reinforcement Learning Techniques To tackle the challenges of large-scale network control, scalable RL techniques are employed. Below are some of the key techniques: ...

Turbulence in airplanes could become a thing of the past with FALCON, a new AI system that helps vehicles learn how to adjust to turbulence within a matter of minutes.