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AAAI
2011
13 years 9 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ATAL
2011
Springer
13 years 9 months ago
A study of computational and human strategies in revelation games
Revelation games are bilateral bargaining games in which agents may choose to truthfully reveal their private information before engaging in multiple rounds of negotiation. They a...
Noam Peled, Ya'akov (Kobi) Gal, Sarit Kraus
ATAL
2011
Springer
13 years 9 months ago
Conviviality measures
Conviviality has been introduced as a social science concept for multiagent systems to highlight soft qualitative requirements like user friendliness of systems. In this paper we ...
Patrice Caire, Baptiste Alcalde, Leendert van der ...
ATAL
2011
Springer
13 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
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ICDAR
2011
IEEE
13 years 9 months ago
Chinese Chess Character Recognition with Radial Harmonic Fourier Moments
—Radial harmonic Fourier moments (RHFMs) are invariant to translation, rotation, scaling and intensity, which own excellent image description ability, noise-resistant power, and ...
Kejia Wang, Honggang Zhang, Ziliang Ping, Haiying
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