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TNN
2010
147views Management» more  TNN 2010»
15 years 2 months ago
State-space analysis of Boolean networks
This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
Daizhan Cheng, Hongsheng Qi
ATVA
2009
Springer
172views Hardware» more  ATVA 2009»
16 years 1 months ago
Symbolic CTL Model Checking of Asynchronous Systems Using Constrained Saturation
Abstract. The saturation state-space generation algorithm has demonstrated clear improvements over state-of-the-art symbolic methods for asynchronous systems. This work is motivate...
Yang Zhao, Gianfranco Ciardo
AAAI
2008
15 years 9 months ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe
JMLR
2006
116views more  JMLR 2006»
15 years 7 months ago
Point-Based Value Iteration for Continuous POMDPs
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
Josep M. Porta, Nikos A. Vlassis, Matthijs T. J. S...
ATAL
2011
Springer
14 years 7 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha