83 search results - page 8 / 17 » Building efficient partial plans using Markov decision proce... |
ICML
2008
IEEE
16 years 14 days ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
131
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IJRR
2010
14 years 10 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
113
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ATAL
2003
Springer
15 years 4 months ago
2003
Springer
Given a large group of cooperative agents, selecting the right coordination or conflict resolution strategy can have a significant impact on their performance (e.g., speed of co...
125
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RSS
2007
15 years 1 months ago
2007
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
88
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HICSS
2003
IEEE
15 years 5 months ago
2003
IEEE
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...