Scientific environments

I’m interested in physical reinforcement-learning environments for scientific discovery. These three simulations explore how agents choose experiments and learn from results.

Each task gives an agent a limited budget. It chooses experiments, sees the results, and predicts outcomes it has not observed.

3 tasks are implemented. The task catalogue includes 47 more proposals.

These are synthetic prototypes. Independent scientific review and validation on real lab systems are still needed.