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ECAL
2007
Springer
15 years 3 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
ISCI
2002
112views more  ISCI 2002»
14 years 9 months ago
Intelligent learning and control of autonomous robotic agents operating in unstructured environments
The control of autonomous intelligent robotic agent operating in unstructured changing environments includes many objective difficulties. One major difficulty concerns the charact...
Hani Hagras, Tarek M. Sobh
ICML
1998
IEEE
15 years 10 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
ICML
1999
IEEE
15 years 2 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
77
Voted
ICRA
1998
IEEE
137views Robotics» more  ICRA 1998»
15 years 1 months ago
GRAMMPS: A Generalized Mission Planner for Multiple Mobile Robots in Unstructured Environments
For a system of cooperative mobile robots to be effective in real-world applications, it must be able to efficiently execute a wide class of complex tasks in potentially unknown a...
Barry Brumitt, Anthony Stentz