246 search results - page 6 / 50 » Learning behavior styles with inverse reinforcement learning |
AAAI
1996
13 years 9 months ago
1996
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
ABIALS
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
AI
1999
Springer
13 years 7 months ago
1999
Springer
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
EVOW
2003
Springer
14 years 29 days ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...