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» Abstraction in Predictive State Representations
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Publication
222views
15 years 6 months ago
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
Christos Dimitrakakis, Michail G. Lagoudakis
ICTAI
2010
IEEE
14 years 7 months ago
A Closer Look at MOMDPs
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
Mauricio Araya-López, Vincent Thomas, Olivi...
IJCAI
2007
14 years 11 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
IFIP
2004
Springer
15 years 3 months ago
Static program transformations for efficient software model checking
Ensuring correctness of software by formal methods is a very relevant and widely studied problem. Automatic verification of software using model checkers from the state space exp...
Shobha Vasudevan, Jacob A. Abraham
SEFM
2005
IEEE
15 years 3 months ago
Description Logics for Shape Analysis
Verification of programs requires reasoning about sets of program states. In case of programs manipulating pointers, program states are pointer graphs. Verification of such prog...
Lilia Georgieva, Patrick Maier