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ICML
2000
IEEE
16 years 7 months ago
Combining Reinforcement Learning with a Local Control Algorithm
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...
Andrew G. Barto, Jette Randløv, Michael T. ...
NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
TLT
2010
90views more  TLT 2010»
15 years 5 months ago
To Flow and Not to Freeze: Applying Flow Experience to Mobile Learning
— A key design goal of mobile learning is that its built-in experiences are enjoyable and proactive, empowering the learner with the knowledge and ability to self-manage. This im...
Jungho Park, David Parsons, Hokyoung Ryu
SAT
2009
Springer
117views Hardware» more  SAT 2009»
16 years 1 months ago
Dynamic Symmetry Breaking by Simulating Zykov Contraction
Abstract. We present a new method to break symmetry in graph coloring problems. While most alternative techniques add symmetry breaking predicates in a pre-processing step, we deve...
Bas Schaafsma, Marijn Heule, Hans van Maaren
FLAIRS
2006
15 years 8 months ago
Simulated Visual Perception-Based Control for Autonomous Mobile Agents
Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need ...
Daniel Flower, Burkhard Wünsche, Hans W. Gues...