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NIPS
1998
13 years 9 months ago
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
The execution order of a block of computer instructions can make a difference in its running time by a factor of two or more. In order to achieve the best possible speed, compiler...
Amy McGovern, J. Eliot B. Moss
JACIII
2006
97views more  JACIII 2006»
13 years 8 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ECML
2006
Springer
13 years 10 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
COLT
1994
Springer
14 years 5 days ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter
AAAI
1998
13 years 9 months ago
A Framework for Reinforcement Learning on Real Robots
Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
William D. Smart, Leslie Pack Kaelbling