Abstraction Networks

Lead Research Organisation: Imperial College London
Department Name: Dept of Computing


A Method For Knowledge Extraction Towards Lifelong
Reinforcement Learning

. Due to the requirement of autonomy, this project examines progress made in Lifelong
Reinforcement Learning (LRL) and identifies a promising development direction in the use
of technologies which incorporate a relational inductive bias over the knowledge representations. Finally, by integrating two prominent methods, namely Graph Networks and Latent
Feature Models, Abstraction Networks are proposed as a potential LRL framework, as they
assume a network of fundamental state-abstractions that have inherent synergy with the
knowledge manipulation requirements of lifelong learning.

Research area Reinforcement learning


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509486/1 30/09/2016 30/03/2022
2286911 Studentship EP/N509486/1 31/03/2017 30/08/2021 Harald Selim Stromfelt