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» Hierarchical Relative Entropy Policy Search
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JMLR
2012
11 years 7 months ago
Hierarchical Relative Entropy Policy Search
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
Christian Daniel, Gerhard Neumann, Jan Peters
AAAI
2010
13 years 6 months ago
Relative Entropy Policy Search
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Jan Peters, Katharina Mülling, Yasemin Altun
ICML
2003
IEEE
14 years 5 months ago
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
AIPS
2003
13 years 6 months ago
Synthesis of Hierarchical Finite-State Controllers for POMDPs
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
Eric A. Hansen, Rong Zhou
JCIT
2008
103views more  JCIT 2008»
13 years 4 months ago
Implementation of Filter Reverse Search System based on Spatial Relationships of Filters
Firewall is a useful technique that ensures network security. Firewall examines network packets and determines whether to accept or deny them based on an ordered set of filters. I...
Yi Yin, Kazuaki Hida, Yoshiaki Katayama, Naohisa T...