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» Reinforcement Learning for Operational Space Control
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SASO
2009
IEEE
14 years 2 months ago
Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
Ivana Dusparic, Vinny Cahill
GECCO
2008
Springer
138views Optimization» more  GECCO 2008»
13 years 8 months ago
Modular neuroevolution for multilegged locomotion
Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that ...
Vinod K. Valsalam, Risto Miikkulainen
VRST
2004
ACM
14 years 23 days ago
NOYO: 6DOF elastic rate control for virtual environments
It is an interesting challenge to design input devices that are easy to learn and use and that allow a wide range of differentiated input. We have developed a novel joystick-like ...
Andreas Simon, Mario Doulis
TSMC
1998
78views more  TSMC 1998»
13 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 1 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao