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Improving Performance in Reinforcement Learning by Breaking
  Generalization in Neural Networks

Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks

16 March 2020
Sina Ghiassian
Banafsheh Rafiee
Y. Lo
Adam White
ArXivPDFHTML

Papers citing "Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks"

5 / 5 papers shown
Title
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Augustine N. Mavor-Parker
Matthew J. Sargent
Caswell Barry
Lewis D. Griffin
Clare Lyle
49
2
0
09 Jul 2024
Elephant Neural Networks: Born to Be a Continual Learner
Elephant Neural Networks: Born to Be a Continual Learner
Qingfeng Lan
A. Rupam Mahmood
CLL
56
9
0
02 Oct 2023
Improving generalization in reinforcement learning through forked agents
Improving generalization in reinforcement learning through forked agents
Olivier Moulin
Vincent François-Lavet
Mark Hoogendoorn
AI4CE
28
0
0
13 Dec 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
OOD
OffRL
30
12
0
05 Jun 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge
  Consolidation
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
36
8
0
22 May 2022
1