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» Progressive Optimization in Action
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WSC
1997
15 years 6 months ago
Simulation-based Planning for Multi-Agent Environments
One of the key issues in reasoning with multiple interacting intelligent agents is how to model and code the decision making process of the agents. In Artificial Intelligence (AI...
Jin Joo Lee, Paul A. Fishwick
131
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NIPS
1996
15 years 6 months ago
Reinforcement Learning for Mixed Open-loop and Closed-loop Control
Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstei...
CSL
2007
Springer
15 years 4 months ago
Partially observable Markov decision processes for spoken dialog systems
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Jason D. Williams, Steve Young
AI
1999
Springer
15 years 4 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
CPAIOR
2011
Springer
14 years 8 months ago
Upgrading Shortest Paths in Networks
We introduce the Upgrading Shortest Paths Problem, a new combinatorial problem for improving network connectivity with a wide range of applications from multicast communication to ...
Bistra N. Dilkina, Katherine J. Lai, Carla P. Gome...