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 ...

Reinforcement learning and simulation are essential to solving the constraints and novel challenges that take place in factories and supply chains.

Deep reinforcement learning has helped solve very complicated challenges and will continue to be an important interest for the AI community.

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 ...

Both deep learning and reinforcement learning are machine learning functions, which in turn are part of a wider set of artificial intelligence tools. What makes deep learning and reinforcement ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

Amazon is making it clear that it believes that reinforcement learning (RL) should be a first-class participant in the ML portfolio considered by enterprises. Amazon has applied RL and other ML ...