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ICML
2004
IEEE
15 years 10 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
CVIU
2006
171views more  CVIU 2006»
14 years 10 months ago
Free viewpoint action recognition using motion history volumes
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
ECAI
2008
Springer
14 years 11 months ago
Heuristics for Planning with Action Costs Revisited
We introduce a simple variation of the additive heuristic used in the HSP planner that combines the benefits of the original additive heuristic, namely its mathematical formulation...
Emil Keyder, Hector Geffner
IJCV
2002
219views more  IJCV 2002»
14 years 9 months ago
View-Invariant Representation and Recognition of Actions
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...
Cen Rao, Alper Yilmaz, Mubarak Shah
CEEMAS
2005
Springer
15 years 3 months ago
How Our Beliefs Contribute to Interpret Actions
Abstract. In update logic the interpretation of an action is often assumed to be independent from the agents’ beliefs about the situation (see [BMS04] or [Auc05]). In this paper ...
Guillaume Aucher