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- 11Abstractions
- 6Artificial Intelligence
- 4Planning
- 3Heuristic search
- 3Machine Learning
- 17Graduate and Postdoctoral Studies (GPS), Faculty of
- 17Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Computing Science, Department of
- 4Computing Science, Department of/Technical Reports (Computing Science)
- 2Art and Design, Department of
- 2Art and Design, Department of/Master's Theses (Art & Design)
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2007
Culberson, Joseph, Yang, Fan, Holte, Robert
Technical report TR07-06. The effectiveness of heuristics search is influnced by the accuracy of the heuristic values. State space abstractions have been proved to be effective for generating admissible heuristics. In this paper, A general definition for abstractions is given. As a demonstration...
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Fall 2009
For zero-sum games, we have efficient solution techniques. Unfortunately, there are interesting games that are too large to solve. Here, a popular approach is to solve an abstract game that models the original game. We assume that more accurate the abstract games result in stronger strategies....
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Spring 2011
In this thesis, we study theoretically and empirically the additive abstraction-based heuristics. First we present formal general definitions for abstractions that extend to general additive abstractions. We show that the general definition makes proofs of admissibility, consistency, and...
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Spring 2024
In recent years, significant strides in optimal bidirectional heuristic search (Bi-HS) have deepened our theoretical understanding and boosted performance. Yet, algorithms for Bi-HS in unbounded suboptimal scenarios remains largely unexplored. Despite leveraging front-to-end (F2E) and...
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Fall 2014
An agent in an adversarial, imperfect information environment must sometimes decide whether or not to take an action and, if they take the action, must choose a parameter value associated with that action. Examples include choosing to buy or sell some amount of resources or choosing whether or...
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Fall 2010
We investigate the use of machine learning to create effective heuristics for single-agent search. Our method aims to generate a sequence of heuristics from a given weak heuristic h{0} and a set of unlabeled training instances using a bootstrapping procedure. The training instances that can be...
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Fall 2013
Many important problems can be cast as state-space problems. In this dissertation we study a general paradigm for solving state-space problems which we name Cluster-and-Conquer (C&C). Algorithms that follow the C&C paradigm use the concept of equivalent states to reduce the number of states...
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2008
Schaeffer, Jonathan, Sturtevant, Nathan, Holte, Robert, Anderson, Ken
Technical report TR08-05. The following report describes some techniques that generalize and attempt to improve upon the Coarse-to-Fine Dynamic Programming (CFDP) algorithm developed by Christopher Raphael. CFDP uses a hierarchy of abstraction graphs, iteratively searches to find optimal...
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Fall 2014
Heuristic search has been shown to be an effective way to solve state-space problems. While many heuristic search techniques are guaranteed to find the best solution, these are often not feasible given practical resource requirements. In such cases, it is necessary to sacrifice solution...
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2009
Holte, Robert, Zilles, Sandra, Ball, Marcel
Technical report TR09-04. Abstraction is a popular technique for speeding up planning and search. A problem that often arises in using abstraction is the generation of abstract states, called spurious states, from which the goal state is reachable in the abstract space but for which there is no...