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» Learning executable agent behaviors from observation
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AAAI
2010
15 years 6 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
121
Voted
IROS
2008
IEEE
117views Robotics» more  IROS 2008»
15 years 11 months ago
Towards a cognitive robot that uses internal rehearsal to learn affordance relations
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura,...
ICML
2002
IEEE
16 years 5 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
115
Voted
AAAI
1994
15 years 5 months ago
Learning to Explore and Build Maps
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
David Pierce, Benjamin Kuipers
HOLOMAS
2007
Springer
15 years 10 months ago
Information Agents Handling Semantic Data as an Extension to Process Monitoring Systems
An approach to extend process monitoring with the help of information agents (IA) handling semantic data is presented in this paper. According to this approach, an operator of a pr...
Teppo Pirttioja, Ilkka Seilonen, Antti Pakonen, Aa...