99 search results - page 5 / 20 » Software agents that learn through observation |
SOFSEM
2004
Springer
15 years 2 months ago
2004
Springer
Multiagent software systems are known to exhibit a system-level behavior that rarely can be predicted from the description of individual agents but must be observed in simulation o...
AAAI
2008
14 years 11 months ago
2008
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
102
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CORR
2010
Springer
14 years 6 months ago
2010
Springer
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
An Autonomous Science Agent has been flying onboard the Earth Observing One Spacecraft since 2003. This software enables the spacecraft to autonomously detect and responds to scie...