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ATAL
2007
Springer
15 years 10 months ago
On Choosing an Efficient Service Selection Mechanism in Dynamic Environments
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...
Murat Sensoy, Pinar Yolum
ASC
2004
15 years 6 months ago
Recognizing environments from action sequences using self-organizing maps
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Seiji Yamada
ICML
2001
IEEE
16 years 7 months ago
Convergence of Gradient Dynamics with a Variable Learning Rate
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
Michael H. Bowling, Manuela M. Veloso
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 23 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
CW
2005
IEEE
16 years 8 days ago
Augmenting Existing Virtual Environments with Plausible Naturalistic Clutter
We present an approach for enriching a Virtual Environment by augmenting it with the kind of naturalistic clutter often found in real-world scenes. Rather than manually specifying...
R. A. Broughton, T. L. J. Howard