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AAMAS
2010
Springer
13 years 8 months ago
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
IJCAI
2007
13 years 9 months ago
Building Portable Options: Skill Transfer in Reinforcement Learning
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
George Konidaris, Andrew G. Barto
AAI
2005
117views more  AAI 2005»
13 years 8 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
SASO
2007
IEEE
14 years 2 months ago
On Scaling Multi-Agent Task Reallocation Using Market-Based Approach
Multi-agent systems (MAS) provide a promising technology for addressing problems such as search and rescue missions, mine sweeping, and surveillance. These problems are a form of ...
Rajesh K. Karmani, Timo Latvala, Gul Agha
FSKD
2007
Springer
277views Fuzzy Logic» more  FSKD 2007»
14 years 2 months ago
Autonomous Robot Control Using Evidential Reasoning
Evidence theory has been widely applied to uncertainty reasoning. In this paper a finite state machine with evidential reasoning is proposed to control autonomous robots. The Khep...
Qingxiang Wu, David A. Bell, Rashid Hafeez Khokhar...