In this course we introduce the fundamentals of Deep Reinforcement Learning from scratch starting from its roots in Dynamic Programming and optimal control, and ending with some of the most popular ...

Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through interaction with their environments. Its ability to handle complex decision ...

A number of other applications in healthcare have included resource scheduling and allocation, optimal process control and drug discovery. Deep-reinforcement learning is also being applied to help ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors ...

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 ...

We demonstrate the design of low entropy state schemes that increase coherent control in quantum evolution through laser ... the structural noise of laser by evolving the system with an optimal ...

deep reinforcement learning will have an increasing impact on industries. It will lead to quantum improvements in robotic automation and system control on the same order as we saw with Go.

A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this ...