Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Self-driving laboratories (SDLs) are next-generation research and development platforms for
closed-loop, autonomous experimentation that combine ideas from artificial intelligence …

Reinforcement learning (RL) has been shown to learn sophisticated control policies for
complex tasks including games, robotics, heating and cooling systems and text generation …

The advent of simulation engines has revolutionized learning and operational efficiency for
robots, offering cost-effective and swift pipelines. However, the lack of a universal simulation …

In designing automated control algorithms of practical importance to the real world it's
common to find that only partial observations of the system state are possible. One needs …

Using a generalizable novel nautical navigation environment, we show how dynamic
programming can be used when only incomplete information about a partially observed …

This tutorial describes a simulated laboratory for making use of reinforcement learning (RL)
for chemical discovery. A key advantage of the simulated environment is that it enables RL …