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» Combining programs and state machines
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WSC
2008
13 years 11 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
ICML
2004
IEEE
14 years 9 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
SOFTVIS
2006
ACM
14 years 2 months ago
Time travelling animated program executions
Visualizations of program executions are often generated on the fly. This has many advantages relative to off-line generation of animated video files. Video files, however, trivia...
Ken Kahn
IJCAI
2001
13 years 10 months ago
Mode Estimation of Model-based Programs: Monitoring Systems with Complex Behavior
Deductive, mode-estimation has become an essential component of robotic space systems, like NASA's deep space probes. Future robots will serve as components of large robotic ...
Brian C. Williams, Seung Chung, Vineet Gupta
AI
2002
Springer
13 years 8 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro