AIPS
2010
14 years 1 months ago
2010
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
AIPS
2010
14 years 1 months ago
2010
The utility of including loops in plans has been long recognized by the planning community. Loops in a plan help increase both its applicability and the compactness of representat...
AIPS
2010
14 years 1 months ago
2010
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
AIPS
2010
14 years 1 months ago
2010
We present an extension of the planning framework based on action graphs and local search to deal with PDDL2.1 temporal problems requiring concurrency, while previously the approa...
AIPS
2010
14 years 1 months ago
2010
The problem of effectively combining multiple heuristic estimators has been studied extensively in the context of optimal planning, but not in the context of satisficing planning....
AIPS
2010
14 years 1 months ago
2010
Heuristic functions make MDP solvers practical by reducing their time and memory requirements. Some of the most effective heuristics (e.g., the FF heuristic function) first determ...
AIPS
2010
14 years 1 months ago
2010
Anytime search algorithms solve optimisation problems by quickly finding a usually suboptimal solution and then finding improved solutions when given additional time. To deliver a...
AIPS
2010
14 years 1 months ago
2010
We present a hierarchical planning system and its application to robotic manipulation. The novel features of the system are: 1) it finds high-quality kinematic solutions to task-l...
AIPS
2010
14 years 1 months ago
2010
We present Shopper, a plan execution engine that facilitates experimental evaluation of plans and makes it easier for planning researchers to incorporate replanning. Shopper inter...
AIPS
2010
14 years 1 months ago
2010
Recently, `determinization in hindsight' has enjoyed surprising success in on-line probabilistic planning. This technique evaluates the actions available in the current state...