Detecting changes and avoiding catastrophic forgetting in dynamic partially observable environments

The ability of an agent to detect changes in an environment is key to successful adaptation. This ability involves at least two phases: learning a model of an environment, and detecting that a change is likely to have occurred when this model is no longer accurate. This task is particularly challeng...

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Bibliographic Details
Main Authors: Jeff Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Hideyasu Shimadzu, Peter Kinnell, Praveen K Pilly, Soheil Kolouri, Andrea Soltoggio
Format: Default Article
Published: 2020
Subjects:
Artificial intelligence not elsewhere classified
POMDP
PSR
continual learning
catastrophic forgetting
lifelong learning
neural network
Artificial Intelligence and Image Processing
Online Access:https://hdl.handle.net/2134/13562636.v1
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https://hdl.handle.net/2134/13562636.v1

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