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ICML
1994
IEEE
15 years 10 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
ALGORITHMICA
2010
104views more  ALGORITHMICA 2010»
15 years 6 months ago
Fixed-Parameter Approximation: Conceptual Framework and Approximability Results
The notion of fixed-parameter approximation is introduced to investigate the approximability of optimization problems within the framework of fixed-parameter computation. This work...
Liming Cai, Xiuzhen Huang
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 10 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
VMV
2003
164views Visualization» more  VMV 2003»
15 years 8 months ago
A Parallel Framework for Silhouette-Based Human Motion Capture
This paper presents a method to capture human motion from silhouettes of a person in multi-view video streams. Applying a hierarchical kinematic body model motion parameters are e...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
IJCAI
1989
15 years 7 months ago
Towards a General Framework for Composing Disjunctive and Iterative Macro-operators
Inducing disjunctive and iterative macro-operators from empirical problem-solving traces provides a more powerful knowledge compilation method than simple linear macro-operators. ...
Peter Shell, Jaime G. Carbonell