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» A Finite State Mobile Agent Computation Model
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ATAL
2007
Springer
15 years 10 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
AAAI
2007
15 years 6 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
CSFW
2008
IEEE
15 years 10 months ago
Information Flow in Systems with Schedulers
Abstract. The focus of work on information flow security has primarily been on definitions of security in asynchronous systems models. This paper considers systems with scheduler...
Ron van der Meyden, Chenyi Zhang
AIMS
2007
Springer
15 years 10 months ago
Harnessing Models for Policy Conflict Analysis
Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which ...
Steven Davy, Brendan Jennings
AROBOTS
1998
130views more  AROBOTS 1998»
15 years 4 months ago
Rough Terrain Autonomous Mobility-Part 2: An Active Vision, Predictive Control Approach
Off-road autonomous navigation is one of the most difficult automation challenges from the point of view of constraints on mobility, speed of motion, lack of environmental structur...
Alonzo Kelly, Anthony Stentz