Compress the Policy, Verify the Loss: dtControl 2+ε Turns Approximation into an Auditable Budget
TL;DR for operators If a large automated policy contains thousands of state-specific decisions, must every one be preserved exactly before the policy can be reviewed or deployed safely? dtControl 2+$\varepsilon$ starts from a different premise: some decisions can change without materially changing the objective the controller was built to achieve. It uses an explicit objective-level tolerance to determine how much performance loss may be accepted, removes decision detail that does not need to be preserved, and model-checks the resulting controller before accepting it.1 ...
