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Overcoming Catastrophic Interference in Online Reinforcement Learning
  with Dynamic Self-Organizing Maps

Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps

29 October 2019
Y. Lo
Sina Ghiassian
    CLL
ArXiv (abs)PDFHTML

Papers citing "Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps"

5 / 5 papers shown
Title
Beyond Supervised Continual Learning: a Review
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDLCLL
83
10
0
30 Aug 2022
Learning Dynamics and Generalization in Reinforcement Learning
Learning Dynamics and Generalization in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
Marta Z. Kwiatkowska
Y. Gal
OODOffRL
86
15
0
05 Jun 2022
Catastrophic Interference in Reinforcement Learning: A Solution Based on
  Context Division and Knowledge Distillation
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
80
18
0
01 Sep 2021
Dynamic neighbourhood optimisation for task allocation using multi-agent
Dynamic neighbourhood optimisation for task allocation using multi-agent
N. Creech
Natalia Criado
S. Miles
114
1
0
16 Feb 2021
A reinforcement learning approach to rare trajectory sampling
A reinforcement learning approach to rare trajectory sampling
Dominic C. Rose
Jamie F. Mair
J. P. Garrahan
94
52
0
26 May 2020
1