Combining Case-Based Reasoning and Reinforcement Learning for ...

Abstract. Case Based Reasoning is a feasible approach for recognizing and predicting behavior of agents within the RoboCup domain. Using the.







Learning of Knowledge-Intensive Similarity Measures in Case ...
In this paper we propose a coupling between two knowledge based methods: Case Based Reasoning and Constraint Satisfaction Problem to accelerate.
Combining Case-Based Reasoning and Reinforcement Learning for ...
Our aim is to develop a methodology for analog circuit diagnosis based on improving the well-known fault dictionary techniques by means of adding or adapting ...
Machine Reading Comprehension using Case-based Reasoning
This paper proposes a hybrid Case-Based Reasoning, Deep Learning framework for medical-related applications, focusing on the generation of medical reports. The ...



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Foundations of Soft Case-Based Reasoning - GitHub Pages