Now showing items 1-3 of 3
Qualitative case-based reasoning and learning
The development of autonomous agents that perform tasks with the same dexterity as performed by humans is one of the challenges of artificial intelligence and robotics. This motivates the research on intelligent agents, ...
DECAF: Deep Case-based Policy Inference for Knowledge Transfer in Reinforcement Learning
Having the ability to solve increasingly complex problems using Reinforcement Learning (RL) has prompted researchers to start developing a greater interest in systematic approaches to retain and reuse knowledge over a ...
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning
A major challenge in gene regulatory networks (GRN) of biological systems is to discover when and what in-terventions should be applied to shift them to healthy phenotypes. A set of gene activity profiles, called basin ...