probapop
Engineering a Conformant Probabilistic Planner
Li, L., Onder, N., Whelan, G. C.
We present a partial-order, conformant, probabilistic planner, Probapop which competed in the blind track of the Probabilistic Planning Competition in IPC-4. We explain how we adapt distance based heuristics for use with probabilistic domains. Probapop also incorporates heuristics based on probability of success. We explain the successes and difficulties encountered during the design and implementation of Probapop.
- North America > United States > Michigan (0.04)
- Asia > Vietnam > Hanoi > Hanoi (0.04)
Engineering a Conformant Probabilistic Planner
Onder, N., Whelan, G. C., Li, L.
We present a partial-order, conformant, probabilistic planner, Probapop which competed in the blind track of the Probabilistic Planning Competition in IPC-4. We explain how we adapt distance based heuristics for use with probabilistic domains. Probapop also incorporates heuristics based on probability of success. We explain the successes and difficulties encountered during the design and implementation of Probapop.
- North America > United States > Michigan (0.04)
- Asia > Vietnam > Hanoi > Hanoi (0.04)