Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning

1 code implementation • 25 Apr 2022 • Juan Manuel Parrilla-Gutierrez

Our results demonstrate how generative learning can model real-time scientific experimentation to track how it changes through time as the user manipulates it, and how the trained models can be paired with optimisation algorithms to discover new phenomena beyond the physical limitations of lab experimentation.

reinforcement-learning Reinforcement Learning (RL) +1