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» Learning to Optimize Plan Execution in Information Agents
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ICNC
2009
Springer
14 years 3 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
JMLR
2008
92views more  JMLR 2008»
13 years 8 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
ECML
2005
Springer
14 years 2 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ICML
1999
IEEE
14 years 9 months ago
Implicit Imitation in Multiagent Reinforcement Learning
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
Bob Price, Craig Boutilier
HICSS
2009
IEEE
101views Biometrics» more  HICSS 2009»
14 years 3 months ago
Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Sit
Given the limitation of hearing and understanding speech for many individuals, we plan to supplement the sound of speech and speechreading with an additional informative visual in...
Dominic W. Massaro, Miguel Á. Carreira-Perp...