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88
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ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
15 years 4 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta
80
Voted
AAAI
1996
14 years 10 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
100
Voted
JIRS
2008
100views more  JIRS 2008»
14 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
TVCG
2008
100views more  TVCG 2008»
14 years 9 months ago
Two-Character Motion Analysis and Synthesis
In this paper, we deal with the problem of synthesizing novel motions of standing-up martial arts such as Kickboxing, Karate, and Taekwondo performed by a pair of humanlike charact...
Taesoo Kwon, Young-Sang Cho, Sang Il Park, Sung Yo...
AB
2008
Springer
15 years 3 months ago
Local Structure and Behavior of Boolean Bioregulatory Networks
Abstract. A well-known discrete approach to modeling biological regulatory networks is the logical framework developed by R. Thomas. The network structure is captured in an interac...
Heike Siebert