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 ...

Reinforcement learning (RL) is a powerful type of artificial intelligence technology that can be used to learn strategies to optimally control large, complex systems such as manufacturing plants ...

ELEC_ENG 373, 473: Deep Reinforcement Learning from Scratch VIEW ALL COURSE TIMES AND SESSIONS ... the fundamentals of Deep Reinforcement Learning from scratch starting from its roots in Dynamic ...

Zhengyu Yao, Hwan-Sik Yoon, Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning, SAE International Journal of Electrified Vehicles, Vol. 11, No. 2 (2022), pp. 165-176 ... (MHEV) ...

Reinforcement Learning : Unit code: SEMT20007: Credit points: 20: Level of study: I/5: Teaching block(s) Teaching Block 2 (weeks 13 - 24) Unit director: Professor. ... Reinforcement learning combines ...

We demonstrate the design of low entropy state schemes that increase coherent control in quantum evolution through laser cooling. To do so, we construct an example problem of high impulse lasers that ...