Method and system for determining policies, rules, and agent characteristics, for automating agents, and protection

This invention describes a method for teaching an artificial agent how to behave within a specific environment. It does this by repeatedly having the agent try out actions in a simulated version of the environment, observing the results, and then refining the agent's decision-making rules based on those observations. The goal is for the agent to learn the best actions until it consistently achieves desired outcomes, specifically within IT systems.

Why it matters: Filed before the widespread adoption of advanced reinforcement learning and high-fidelity simulation environments. Training complex agents for IT system automation is now more feasible with current machine learning capabilities.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, IT system simulation

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10