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» Intrinsically Motivated Reinforcement Learning
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NIPS
1993
13 years 7 months ago
Convergence of Stochastic Iterative Dynamic Programming Algorithms
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
Tommi Jaakkola, Michael I. Jordan, Satinder P. Sin...
PEPM
2011
ACM
12 years 8 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
2000
ACM
132views Education» more  SIGCSE 2000»
13 years 10 months ago
Empirical investigation throughout the CS curriculum
Empirical skills are playing an increasingly important role in the computing profession and our society. But while traditional computer science curricula are effective in teaching...
David W. Reed, Craig S. Miller, Grant Braught
NIPS
2008
13 years 7 months ago
Goal-directed decision making in prefrontal cortex: a computational framework
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
Matthew Botvinick, James An
CHI
2010
ACM
14 years 18 days ago
Worlds of information: designing for engagement at a public multi-touch display
In designing for engagement at a public multi-touch installation, we identified supporting multiple users and allowing for gradual discovery as challenges. In this paper, we prese...
Giulio Jacucci, Ann Morrison, Gabriela T. Richard,...