ANYmal-D, the badminton-playing quadruped robot from ETH Zurich, combines artificial intelligence with whole-body ...

It is precisely this combination of constraints and novel challenges that take place in factories and supply chains that reinforcement learning and simulation can help us solve more quickly.

OpenAI Gym, NS-3 and NS-3 gym will be used: OpenAI Gym is a software toolkit for reinforcement learning (RL), widely employed in the research community. The network simulator ns–3 is the de-facto ...

AI startup ByteBrain is transforming clinical trials with agent-based optimization, cutting costs, boosting efficiency, and ...

It is difficult to figure out how all the elements in a data center will affect energy usage, but a reinforcement-learning algorithm can learn from collated data and experiment in simulation to ...

Reinforcement learning is the process by which a machine ... In other cases, the model is refined in a simulation that generates synthetic events that may reward or penalize the algorithm.

"Leveraging state-of-the-art GPU-accelerated simulation in Nvidia Isaac Gym ... "rapid reward evaluation via massively parallel reinforcement learning." The researchers describe Eureka as ...

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, ...