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ECAL
2001
Springer
15 years 8 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
130
Voted
AIPS
2008
15 years 6 months ago
Criticality Metrics for Distributed Plan and Schedule Management
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
Rajiv T. Maheswaran, Pedro A. Szekely
LREC
2008
92views Education» more  LREC 2008»
15 years 5 months ago
Annotating "tense" in a Tense-less Language
In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a &q...
Nianwen Xue, Hua Zhong, Kai-Yun Chen
IJCAI
2007
15 years 5 months ago
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
Ah-Hwee Tan
EJIS
2008
52views more  EJIS 2008»
15 years 4 months ago
The journal list and its use: motivation, perceptions, and reality
The Bauer College of Business at the University of Houston uses lists of journals as part of its process to evaluate and reward the research productivity of its faculty. The creat...
Dennis Adams, Norman Johnson