Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
The process of planning in complex, multi-actor environment depends strongly on the ability of the individual actors to perform intelligent decommitment upon specific changes in ...
— We introduce a hierarchical variant of the probabilistic roadmap method for motion planning. By recursively refining an initially sparse sampling in neighborhoods of the C-obs...
As part of the DARPA Deep Green efforts, SAIC developed a multi-threaded and resolution approach to constructing and evaluating simulated futures to address the SimPath component....
David R. Pratt, Robert W. Franceschini, Robert B. ...