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» Composing and combining policies under the policy machine
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ATAL
2009
Springer
14 years 9 days ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
AAAI
1997
13 years 7 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
PVLDB
2008
182views more  PVLDB 2008»
13 years 5 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
HPCA
2005
IEEE
14 years 6 months ago
Tapping ZettaRAMTM for Low-Power Memory Systems
ZettaRAMTM is a new memory technology under development by ZettaCoreTM as a potential replacement for conventional DRAM. The key innovation is replacing the conventional capacitor...
Ravi K. Venkatesan, Ahmed S. Al-Zawawi, Eric Roten...
CSFW
2009
IEEE
14 years 15 days ago
Updatable Security Views
Security views are a flexible and effective mechanism for controlling access to confidential information. Rather than allowing untrusted users to access source data directly, th...
J. Nathan Foster, Benjamin C. Pierce, Steve Zdance...