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Andreas Birk and John Demiris
Front matter
1-12
The construction and acquisition of visual categories
13-28
Q-Learning with Adaptive State Space Construction
29-45
Modular Reinforcement Learning: An Application to a Real Robot Task
46-61
Analysis and Design of Robot’s Behavior: Towards a Methodology
62-78
Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments
79-94
Transmitting Communication Skills Through Imitation in Autonomous Robots
95-108
Continual Robot Learning with Constructive Neural Networks
109-125
Robot Learning and Self-Sufficiency: What the energy-level can tell us about a robot’s performance
126-141
Perceptual grounding in robots
142-154
A Learning Mobile Robot: Theory, Simulation and Practice
155-172
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
173-188
Robot Learning using Gate-Level Evolvable Hardware
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