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» Guiding Inference Through Relational Reinforcement Learning
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GECCO
2004
Springer
14 years 1 months ago
Using Interconnection Style Rules to Infer Software Architecture Relations
Software design techniques emphasize the use of abstractions to help developers deal with the complexity of constructing large and complex systems. These abstractions can also be u...
Brian S. Mitchell, Spiros Mancoridis, Martin Trave...
FLAIRS
2008
13 years 10 months ago
Reinforcement of Local Pattern Cases for Playing Tetris
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Houcine Romdhane, Luc Lamontagne
ECML
2005
Springer
14 years 1 months ago
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
ECML
2006
Springer
13 years 11 months ago
Skill Acquisition Via Transfer Learning and Advice Taking
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
EVOW
2009
Springer
14 years 2 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne