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» Approximation Algorithms for Temporal Reasoning
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LICS
2003
IEEE
15 years 5 months ago
Labelled Markov Processes: Stronger and Faster Approximations
This paper reports on and discusses three notions of approximation for Labelled Markov Processes that have been developed last year. The three schemes are improvements over former...
Vincent Danos, Josee Desharnais
ATAL
2005
Springer
15 years 5 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICML
1999
IEEE
16 years 15 days ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
AIMSA
2008
Springer
15 years 6 months ago
Nested Precedence Networks with Alternatives: Recognition, Tractability, and Models
Integrated modeling of temporal and logical constraints is important for solving real-life planning and scheduling problems. Logical constrains extend the temporal formalism by rea...
Roman Barták, Ondrej Cepek
ICPR
2008
IEEE
15 years 6 months ago
An approximate algorithm for median graph computation using graph embedding
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
Miquel Ferrer, Ernest Valveny, Francesc Serratosa,...