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» Reinforcement Learning: An Introduction
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ICML
2010
IEEE
13 years 10 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
PEPM
2011
ACM
12 years 12 months ago
Adaptation-based programming in java
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
SIGCSE
2005
ACM
146views Education» more  SIGCSE 2005»
14 years 2 months ago
Using image processing projects to teach CS1 topics
As Computer Science educators, we know that students learn more from projects that are fun and challenging, that seem “real” to them, and that allow them to be creative in des...
Richard Wicentowski, Tia Newhall
ATAL
2003
Springer
14 years 2 months ago
Team formation and communication restrictions in collectives
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
Adrian K. Agogino, Kagan Tumer
SIGUCCS
2000
ACM
14 years 1 months ago
Training... A Key to Better Help Desk Consultants
The quality of student consultants and their development through training and education are major factors in determining long-term effectiveness of university Help Desk. To hire a...
Anna Maria Perez, Andrea J. Moore