Shlomo Zilbertsein

Adaptive Outcome Selection for Planning with Reduced Models

Reduced models allow autonomous robots to cope with the complexity of planning in stochastic environments by simplifying the model and reducing its accuracy. The solution quality of a reduced model depends on its fidelity. We present 0/1 reduced model that selectively improves model fidelity in cert…