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» Learning for Dynamic Subsumption
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ATAL
2007
Springer
15 years 9 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
CHI
2003
ACM
16 years 3 months ago
A physical interface for system dynamics simulation
We present the System Blocks, a new physical interactive system that makes it easier for kids to explore dynamic systems. A set of computationally enhanced children blocks, made o...
Oren Zuckerman, Mitchel Resnick
132
Voted
UAI
2004
15 years 4 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
CORR
2010
Springer
119views Education» more  CORR 2010»
15 years 3 months ago
Dynamic Policy Programming
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
Mohammad Gheshlaghi Azar, Hilbert J. Kappen
HAPTICS
2002
IEEE
15 years 8 months ago
Haptic Feedback and Human Performance in a Dynamic Task
This study explores the effects of haptic feedback on performance and learning by human subjects executing a dynamic task. We present the results of experiments involving the cont...
Felix Huang, R. Brent Gillespie, Art Kuo