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» Combining Learned Discrete and Continuous Action Models
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CVPR
2009
IEEE
16 years 11 months ago
Actions in context
This paper exploits the context of natural dynamic scenes for human action recognition in video. Human actions are frequently constrained by the purpose and the physical propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...
RTAS
2003
IEEE
15 years 9 months ago
Modular Code Generation from Hybrid Automata based on Data Dependency
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Jesung Kim, Insup Lee
MIRRORBOT
2005
Springer
154views Robotics» more  MIRRORBOT 2005»
15 years 9 months ago
Spatial Representation and Navigation in a Bio-inspired Robot
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
NIPS
2000
15 years 5 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
SCP
1998
163views more  SCP 1998»
15 years 3 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat