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» Learning to Optimize Plan Execution in Information Agents
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EMISA
2007
Springer
15 years 5 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
15 years 3 months 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»
14 years 11 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
15 years 6 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
15 years 6 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...