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» Learning to Optimize Plan Execution in Information Agents
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EMISA
2007
Springer
14 years 2 months ago
On Industrial Use of Requirements Engineering Techniques
We discuss two experiments in which requirements engineering techniques has been used and evaluated. In the first experiment a technique called Executable Use Cases is applied in t...
Lars Bækgaard, Jens Bæk Jørgens...
KES
1998
Springer
14 years 26 days ago
An acquisition of the relation between vision and action using self-organizing map and reinforcement learning
An agent must acquire internal representation appropriate for its task, environment, sensors. As a learning algorithm, reinforcement learning is often utilized to acquire the rela...
Kazunori Terada, Hideaki Takeda, Toyoaki Nishida
JACIII
2006
97views more  JACIII 2006»
13 years 8 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ICEIS
2009
IEEE
14 years 3 months ago
AgEx: A Financial Market Simulation Tool for Software Agents
Many researchers in the software agent field use the financial domain as a test bed to develop adaptation, cooperation and learning skills of software agents. However, there are no...
Paulo André Lima de Castro, Jaime Sim&atild...
ATAL
2009
Springer
14 years 3 months ago
Adversarial search with procedural knowledge heuristic
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...
Viliam Lisý, Branislav Bosanský, Mic...