AIPS 2010 - PDF Preprint Papers

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AIPS
2010

227views Artificial Intelligence» more AIPS 2010»

Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement

13 years 6 months ago

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Compared to optimal planners, satisficing planners can solve much harder problems but may produce overly costly and long plans. Plan quality for satisficing planners has become in...

Hootan Nakhost, Martin Müller 0003

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Id	Views	Title	Status

1	227	Action Elimination and Plan Neighborhood Graph Search: Two Algorithms for Plan Improvement	claim
2	176	Forward-Chaining Partial-Order Planning	claim
3	174	When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters	claim
4	156	Incrementally Solving STNs by Enforcing Partial Path Consistency	claim
5	150	Computing Applicability Conditions for Plans with Loops	claim
6	147	Classical Planning in MDP Heuristics: with a Little Help from Generalization	claim
7	146	Combined Task and Motion Planning for Mobile Manipulation	claim
8	144	Cost-Optimal Factored Planning: Promises and Pitfalls	claim
9	143	The Joy of Forgetting: Faster Anytime Search via Restarting	claim
10	140	Iterative Learning of Weighted Rule Sets for Greedy Search	claim
11	132	Influence-Based Policy Abstraction for Weakly-Coupled Dec-POMDPs	claim
12	131	The Scanalyzer Domain: Greenhouse Logistics as a Planning Problem	claim
13	128	Shopper: A System for Executing and Simulating Expressive Plans	claim
14	127	The More, the Merrier: Combining Heuristic Estimators for Satisficing Planning	claim
15	127	Coming Up With Good Excuses: What to do When no Plan Can be Found	claim
16	126	A New Approach to Conformant Planning Using CNF*	claim
17	124	Genome Rearrangement and Planning: Revisited	claim
18	118	Pattern Database Heuristics for Fully Observable Nondeterministic Planning	claim
19	118	Temporal Planning with Problems Requiring Concurrency through Action Graphs and Local Search	claim
20	115	Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF	claim
21	114	When Abstractions Met Landmarks	claim
22	108	Improving Determinization in Hindsight for On-line Probabilistic Planning	claim

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