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SAC
2005
ACM
15 years 5 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
CVPR
2009
IEEE
16 years 6 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICRA
2010
IEEE
136views Robotics» more  ICRA 2010»
14 years 9 months ago
Efficient planning under uncertainty for a target-tracking micro-aerial vehicle
A helicopter agent has to plan trajectories to track multiple ground targets from the air. The agent has partial information of each target's pose, and must reason about its u...
Ruijie He, Abraham Bachrach, Nicholas Roy
ECML
2007
Springer
15 years 5 months ago
Probabilistic Models for Action-Based Chinese Dependency Parsing
Action-based dependency parsing, also known as deterministic dependency parsing, has often been regarded as a time efficient parsing algorithm while its parsing accuracy is a littl...
Xiangyu Duan, Jun Zhao, Bo Xu
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
15 years 3 months ago
Evolutionary Design of Behaviors for Action-Based Environment Modeling by a Mobile Robot
This paper describes an evolutionary way to acquire behaviors of a mobile robot for recognizing environments. We have proposed AEM (Action-based Environment Modeling) approach for...
Seiji Yamada