martyn-smith / Eastmann-Adversarial

Implementations of the Tennessee Eastmann process suitable for Adversarial Reinforcement Learning
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complete support for adjustable red-team intent as scenarios 1,2,3... #11

Closed martyn-smith closed 2 years ago

martyn-smith commented 2 years ago

Currently, although most of the plumbing for adjustable red team intent is present, red teams reward always defaults to simply maximising downtime.

Implement adjustability, with the prime user interface being "scenarios", e.g.

martyn-smith commented 2 years ago

Completed with experimental matrix drawn, now need results generation.