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137
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AROBOTS
1999
15 years 1 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
112
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TSMC
2002
15 years 1 months ago
2002
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
ACL
2010
15 years 10 days ago
2010
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
112
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WEBI
2010
Springer
15 years 4 days ago
2010
Springer
In this paper, we propose a novel community-based approach for web service selection where super-agents with more capabilities serve as community managers. They maintain communitie...
139
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NN
2010
Springer
14 years 9 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...