Solving Stochastic Planning Problems With Large State and Action Spaces

Proceedings of the 4th International Conference on Artificial Intelligence Planning Systems, AIPS 1998

Volumn , Issue , 1998, Pages

  Dean, Thomas ^a   Givan, Robert ^b   Kim, Kee Eung ^a  

^a Brown Univerity   (United States)

^b Purdue University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; BEHAVIORAL RESEARCH; BOOLEAN ALGEBRA; ENCODING (SYMBOLS); PROBLEM SOLVING; ROBOT PROGRAMMING; STOCHASTIC SYSTEMS;

ACTION SPACES; CONTROL PARAMETERS; DEPENDENCY RELATIONSHIP; DETERMINISTICS; ENCODINGS; MARKOV DECISION PROCESSES; PLANNING METHOD; PLANNING PROBLEM; STATE-SPACE; STOCHASTIC PLANNING;

MARKOV PROCESSES;

EID: 85166375107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. [Boutilier et al., 1995] Boutilier, Craig; Dearden, Richard; and Goldszmidt, Moises, 1995. Exploiting structure in policy construction. In Proceedings IJCAI 14. IJCAII.
2. [Dean and Givan, 1997] Dean, Thomas and Givan, Robert, 1997. Model minimization in Markov decision processes. In Proceedings AAAI-97. AAAI.
3. [Dean et al., 1997] Dean, Thomas; Givan, Robert; and Leach, Sonia, 1997. Model reduction techniques for computing approximately optimal solutions for Markov decision processes. In Thirteenth Conference on Uncertainty in Artificial Intelligence.
4. [Givan & Dean, 1997] Givan, Robert; Dean, Thomas, 1997. Model Minimization, regression, and propositional STRIPS planning. In Proceedings of IJCAI 15, IJCAII.
5. [Lee and Yannakakis, 1992] Lee, David and Yannakakis, Mihalis, 1992. On-line minimization of transition systems. In Proceedings of 24th Annual ACM Symposium on the Theory of Computing.
6. [Puterman, 1994] Puterman, Martin L., 1994. Markov Decision Processes. John Wiley & Sons, New York.
7. [Tsitsiklis and Van Roy, 1996] Tsitsiklis, John N. and Van Roy, Benjamin, 1996, Feature-based methods for large scale dynamic programming. Machine Learning 22:59-94.