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JIRS
2000
133views more  JIRS 2000»
13 years 7 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
FLAIRS
2006
13 years 9 months ago
Refining Human Behavior Models in a Context-based Architecture
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
David Aihe, Avelino J. Gonzalez
HIS
2008
13 years 9 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
CEC
2010
IEEE
13 years 8 months ago
Learning to overtake in TORCS using simple reinforcement learning
In modern racing games programming non-player characters with believable and sophisticated behaviors is getting increasingly challenging. Recently, several works in the literature ...
Daniele Loiacono, Alessandro Prete, Pier Luca Lanz...
IROS
2006
IEEE
190views Robotics» more  IROS 2006»
14 years 1 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...