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ECML
2007
Springer
15 years 4 months ago
Policy Gradient Critics
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
Daan Wierstra, Jürgen Schmidhuber
ICCV
2003
IEEE
15 years 11 months ago
Recognizing Human Action Efforts: An Adaptive Three-Mode PCA Framework
We present a computational framework capable of labeling the effort of an action corresponding to the perceived level of exertion by the performer (low ? high). The approach initi...
James W. Davis, Hui Gao
IEAAIE
2011
Springer
14 years 1 months ago
A Cognitive Agent Model Using Inverse Mirroring for False Attribution of Own Actions to Other Agents
This paper presents a cognitive agent model capable of showing situations where self-generated actions are attributed to other agents, as, for example, for patients suffering from ...
Jan Treur, Muhammad Umair
ICML
2000
IEEE
15 years 10 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
JCHE
2010
120views more  JCHE 2010»
14 years 4 months ago
The virtual campus of the future: stimulating and simulating civic actions in a virtual world
This paper presents a pre-orientation program for incoming college students, Active Citizenship through Technology (ACT), that engaged students in civic dialogue early in their aca...
Marina Umaschi Bers, Clement Chau