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» Composing and combining policies under the policy machine
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ICML
2010
IEEE
15 years 7 months ago
Generalizing Apprenticeship Learning across Hypothesis Classes
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
Thomas J. Walsh, Kaushik Subramanian, Michael L. L...
ICML
1997
IEEE
16 years 7 months ago
Hierarchical Explanation-Based Reinforcement Learning
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
Prasad Tadepalli, Thomas G. Dietterich
SOSP
2007
ACM
16 years 3 months ago
VirtualPower: coordinated power management in virtualized enterprise systems
Power management has become increasingly necessary in large-scale datacenters to address costs and limitations in cooling or power delivery. This paper explores how to integrate p...
Ripal Nathuji, Karsten Schwan
VEE
2010
ACM
291views Virtualization» more  VEE 2010»
16 years 1 months ago
Neon: system support for derived data management
Modern organizations face increasingly complex information management requirements. A combination of commercial needs, legal liability and regulatory imperatives has created a pat...
Qing Zhang, John McCullough, Justin Ma, Nabil Sche...
ATAL
2005
Springer
15 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson