The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

Reinforcement learning focuses on rewarding desired AI actions and punishing undesired ones. Common RL algorithms include State-action-reward-state-action, Q-learning, and Deep-Q networks. RL ...

WiMi's deep reinforcement learning-based task scheduling algorithm in cloud computing includes state representation, action selection, reward function and training and optimization of the algorithm.

Neuroscientist Daeyeol Lee discusses different modes of reinforcement learning in humans, animals, and AI, and future directions of research.

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used ...

It is one of the most sophisticated fighter aircraft ever constructed, but the F-22 Raptor still has a human hand on the throttle. The enduring myth that it can “fly itself” reflects less on an ...

MILPITAS, Calif.--(BUSINESS WIRE)--Bigfoot Biomedical (Bigfoot), a leader in developing intelligent connected injection support systems, today announced the acquisition of a reinforcement learning ...

Tulasi Naga Subhash Polineni is a seasoned Oracle Cloud Integration Specialist with over 11 years of experience in applying ...

Motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning (RL) ...