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1812.02464
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Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
6 December 2018
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLM
CLL
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Papers citing
"Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting"
49 / 49 papers shown
Forgetting is Everywhere
Ben Sanati
Thomas L. Lee
Trevor A. McInroe
Aidan Scannell
Nikolay Malkin
David Abel
Amos Storkey
OOD
CML
460
0
0
06 Nov 2025
Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2025
Guoqing Ma
Y. Zhang
Yuming Dai
Guangfu Hao
Yang Chen
S. Yu
OffRL
173
2
0
02 Nov 2025
Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions
Qingfeng Lan
Gautham Vasan
A. R. Mahmood
CLL
173
0
0
23 Sep 2025
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin
Luka van den Boogaard
Samuel Garcin
Bram Grooten
Meng Fang
Yali Du
Mykola Pechenizkiy
OffRL
276
4
0
17 Jun 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
376
0
0
09 Apr 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Kun Wu
Yinuo Zhao
Zhihao Xu
Zhengping Che
Chengxiang Yin
C. Liu
Qinru Qiu
Feiferi Feng
OffRL
504
10
0
22 Dec 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
341
4
0
16 Nov 2024
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella
Jonas Hübotter
Georg Martius
Andreas Krause
619
0
0
07 Oct 2024
Sequential Learning in the Dense Associative Memory
Neural Computation (Neural Comput.), 2024
Hayden McAlister
Anthony Robins
Lech Szymanski
CLL
976
2
0
24 Sep 2024
Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
Pablo García Santaclara
Bruno Fernández Castro
Rebeca P. Díaz Redondo
LMTD
308
5
0
12 Jul 2024
Learn and Don't Forget: Adding a New Language to ASR Foundation Models
Mengjie Qian
Siyuan Tang
Rao Ma
Kate Knill
Mark Gales
CLL
367
21
0
09 Jul 2024
Certified Continual Learning for Neural Network Regression
Long H. Pham
Jun Sun
376
5
0
09 Jul 2024
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
Nikola Bugarin
Jovana Bugaric
Manuel Barusco
Davide Dalle Pezze
Gian Antonio Susto
377
14
0
19 Mar 2024
Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim
Ukcheol Shin
Jung-Yup Kim
223
5
0
01 Mar 2024
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
414
19
0
09 Feb 2024
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks
Yuliang Cai
Mohammad Rostami
468
7
0
27 Jan 2024
Elastic Multi-Gradient Descent for Parallel Continual Learning
Fan Lyu
Wei Feng
Yuepan Li
Qing Sun
Fanhua Shang
Liang Wan
Liang Wang
276
2
0
02 Jan 2024
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang
Kevin Zehua Shen
Zichuan Lin
Bo Yuan
Xueqian Wang
Xiu Li
Deheng Ye
CLL
OffRL
265
10
0
20 Nov 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh
Ming Hou
Konstantinos N. Plataniotis
363
3
0
16 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
Gregory Palmer
Chris Parry
Daniel J.B. Harrold
Chris Willis
AI4CE
321
1
0
11 Oct 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
Neural Information Processing Systems (NeurIPS), 2023
Yanjie Ze
Yuyao Liu
Ruizhe Shi
Jiaxin Qin
Zhecheng Yuan
Jiashun Wang
Huazhe Xu
360
1
0
02 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Neural Networks (NN), 2022
Pablo V. A. Barros
A. Sciutti
SSL
244
7
0
02 Oct 2023
Memory-Efficient Continual Learning Object Segmentation for Long Video
IEEE Access (IEEE Access), 2023
Amir Nazemi
Mohammad Javad Shafiee
Zahra Gharaee
Paul Fieguth
VOS
CLL
297
0
0
26 Sep 2023
Catastrophic Forgetting in the Context of Model Updates
Richard E. Harang
Hillary Sanders
KELM
55
2
0
16 Jun 2023
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
Amir Nazemi
Zeyad Moustafa
Paul Fieguth
VOS
CLL
255
6
0
09 Apr 2023
Adiabatic replay for continual learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Alexander Krawczyk
A. Gepperth
266
6
0
23 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
International Conference on Learning Representations (ICLR), 2023
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
597
5
0
04 Feb 2023
Hawk: An Industrial-strength Multi-label Document Classifier
Natural Language Processing Journal (JNLP), 2023
Arshad Javeed
262
2
0
15 Jan 2023
Continual Learning Approaches for Anomaly Detection
Evolutionary Systematics (ES), 2022
Davide Dalle Pezze
Eugenia Anello
Chiara Masiero
Gian Antonio Susto
204
13
0
21 Dec 2022
Building a Subspace of Policies for Scalable Continual Learning
International Conference on Learning Representations (ICLR), 2022
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
526
40
0
18 Nov 2022
ImpressLearn: Continual Learning via Combined Task Impressions
Dhrupad Bhardwaj
Julia Kempe
Artem Vysogorets
Angel Teng
Evaristus C. Ezekwem
VLM
CLL
252
0
0
05 Oct 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Tiantian Zhang
Zichuan Lin
Yuxing Wang
Deheng Ye
Qiang Fu
Wei Yang
Xueqian Wang
Bin Liang
Bo Yuan
Xiu Li
CLL
250
22
0
01 Sep 2022
Beyond Supervised Continual Learning: a Review
Benedikt Bagus
A. Gepperth
Timothée Lesort
BDL
CLL
328
14
0
30 Aug 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
CLL
OffRL
303
16
0
09 Aug 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation
Qingfeng Lan
Yangchen Pan
Jun Luo
A. R. Mahmood
OffRL
601
10
0
22 May 2022
Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents
Olivier Moulin
Vincent François-Lavet
Paul Elbers
Mark Hoogendoorn
CLL
223
0
0
13 Apr 2022
Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Eric Vollenweider
Marko Bjelonic
Victor Klemm
Nikita Rudin
Joonho Lee
Marco Hutter
289
104
0
23 Mar 2022
Avalanche RL: a Continual Reinforcement Learning Library
International Conference on Image Analysis and Processing (ICIAP), 2022
Nicolo Lucchesi
Antonio Carta
Vincenzo Lomonaco
Davide Bacciu
275
7
0
28 Feb 2022
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
404
2
0
14 Jan 2022
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
247
19
0
08 Dec 2021
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
160
19
0
18 Nov 2021
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tiantian Zhang
Xueqian Wang
Bin Liang
Bo Yuan
OffRL
222
24
0
01 Sep 2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
IEEE International Conference on Computer Vision (ICCV), 2021
Zike Yan
Yuxin Tian
Xuesong Shi
Ping Guo
Peng Wang
H. Zha
CLL
213
55
0
12 Aug 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Neural Computation (Neural Comput.), 2021
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
333
148
0
01 Apr 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Journal of Artificial Intelligence Research (JAIR), 2020
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
673
405
0
25 Dec 2020
Deep Reinforcement and InfoMax Learning
Neural Information Processing Systems (NeurIPS), 2020
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
364
115
0
12 Jun 2020
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
157
0
0
27 Nov 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
Grady Williams
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
193
12
0
13 May 2019
Continual Learning Using World Models for Pseudo-Rehearsal
Nicholas A. Ketz
Soheil Kolouri
Praveen K. Pilly
KELM
CLL
204
7
0
06 Mar 2019
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