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» A Failure to Learn from the Past
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ATAL
2007
Springer
15 years 4 months ago
Transfer via inter-task mappings in policy search reinforcement learning
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ICRA
1998
IEEE
106views Robotics» more  ICRA 1998»
15 years 2 months ago
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery
The two-level fuzzy-lattice (2L-FL) learning scheme is introduced for application on an intelligent surgical (mechatronic) drill in the stapedotomy surgical procedure in the ear. ...
Vassilis G. Kaburlasos, Vassilios Petridis, Peter ...
NSDI
2010
14 years 11 months ago
Mugshot: Deterministic Capture and Replay for JavaScript Applications
Mugshot is a system that captures every event in an executing JavaScript program, allowing developers to deterministically replay past executions of web applications. Replay is us...
James Mickens, Jeremy Elson, Jon Howell
ECAI
1990
Springer
15 years 1 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
FC
2010
Springer
132views Cryptology» more  FC 2010»
15 years 1 months ago
A Learning-Based Approach to Reactive Security
Despite the conventional wisdom that proactive security is superior to reactive security, we show that reactive security can be competitive with proactive security as long as the r...
Adam Barth, Benjamin I. P. Rubinstein, Mukund Sund...