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» The Dynamics of Action Corrections in Situated Interaction
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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
CJ
2010
131views more  CJ 2010»
13 years 4 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
FASE
2008
Springer
13 years 9 months ago
Automated Analysis of Permission-Based Security Using UMLsec
Abstract. To guarantee the security of computer systems, it is necessary to define security permissions to restrict the access to the systems' resources. These permissions enf...
Jan Jürjens, Jörg Schreck, Yijun Yu
E4MAS
2004
Springer
14 years 25 days ago
From Reality to Mind: A Cognitive Middle Layer of Environment Concepts for Believable Agents
The environment is an important but overlooked piece in the construction of multiagent-based scenarios. Richness, believability and variety of scenarios are inseparable from the en...
Paul Hsueh-Min Chang, Kuang-Tai Chen, Yu-Hung Chie...
AAAI
2007
13 years 9 months ago
Authorial Idioms for Target Distributions in TTD-MDPs
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, ...