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FLAIRS
2008
13 years 10 months ago
Reinforcement of Local Pattern Cases for Playing Tetris
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Houcine Romdhane, Luc Lamontagne
SARA
2007
Springer
14 years 1 months ago
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Abstract. We describe a way to improve the performance of MDP planners by modifying them to use lower and upper bounds to eliminate non-optimal actions during their search. First, ...
Ugur Kuter, Jiaqiao Hu
AGENTS
1998
Springer
13 years 12 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
AAAI
1997
13 years 9 months ago
Case and Constraint-Based Apartment Construction Project Planning System: FASTrak-APT
To effectively generate a fast and consistent apartment construction project network, Hyundai and KAIST have developed a case and constraint based project planning expert system f...
Kyoung Jun Lee, Hyun Woo Kim, Jae Kyu Lee, Tae Hwa...
AEI
2004
87views more  AEI 2004»
13 years 7 months ago
Estimating the productivity of cyclic construction operations using case-based reasoning
The estimation of productivity rates in cyclic construction processes is a difficult, but essential task in the planning of construction projects. The conventional method--a calcu...
Darren Graham, Simon D. Smith