499 search results - page 72 / 100 » Model Minimization in Markov Decision Processes |
117
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ICRA
2003
IEEE
15 years 9 months ago
2003
IEEE
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
158
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AAAI
2007
15 years 6 months ago
2007
In designing Markov Decision Processes (MDP), one must define the world, its dynamics, a set of actions, and a reward function. MDPs are often applied in situations where there i...
147
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
136
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AAAI
2007
15 years 6 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
109
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...