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Selective Experience Replay for Lifelong Learning

Selective Experience Replay for Lifelong Learning

28 February 2018
David Isele
Akansel Cosgun
    CLL
ArXivPDFHTML

Papers citing "Selective Experience Replay for Lifelong Learning"

50 / 85 papers shown
Title
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Arthicha Srisuchinnawong
Poramate Manoonpong
CLL
LRM
12
0
0
17 May 2025
Prototype Augmented Hypernetworks for Continual Learning
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente
Maria Pilligua
Daniel Vidal
Albin Soutiff
Cecilia Curreli
Daniel Cremers
Andrey Barsky
CLL
36
0
0
12 May 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
43
0
0
29 Apr 2025
Continual Multi-Robot Learning from Black-Box Visual Place Recognition Models
Kenta Tsukahara
Kanji Tanaka
Daiki Iwata
Jonathan Tay Yu Liang
72
0
0
04 Mar 2025
Iterative Feature Space Optimization through Incremental Adaptive Evaluation
Yanping Wu
Yanyong Huang
Zhengzhang Chen
Zijun Yao
Yanjie Fu
Kunpeng Liu
Xiao Luo
Dongjie Wang
39
0
0
28 Jan 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
89
0
0
19 Dec 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
41
0
0
03 Nov 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
58
0
0
19 Aug 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
Qifan Zhang
Yunhui Guo
Yu Xiang
CLL
VLM
58
0
0
18 Jul 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in
  Task-oriented Dialogue System
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
Chen Chen
Ruizhe Li
Yuchen Hu
Yuanyuan Chen
Chengwei Qin
Qiang Zhang
CLL
46
2
0
16 May 2024
Continual Model-based Reinforcement Learning for Data Efficient Wireless
  Network Optimisation
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation
Cengis Hasan
Alexandros Agapitos
David Lynch
Alberto Castagna
Giorgio Cruciata
Hao Wang
Aleksandar Milenovic
51
0
0
30 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder
  and Actor-specific Token Memory
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
Daehee Park
Jaeseok Jeong
Sung-Hoon Yoon
Jaewoo Jeong
Kuk-Jin Yoon
TTA
42
11
0
15 Mar 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli
Mete Ozay
VLM
44
2
0
28 Feb 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
43
20
0
27 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
57
5
0
09 Feb 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
20
3
0
20 Jan 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual
  Learning of Large Language Models
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models
Weixiang Zhao
Shilong Wang
Yulin Hu
Yanyan Zhao
Bing Qin
Xuanyu Zhang
Qing Yang
Dongliang Xu
Wanxiang Che
KELM
CLL
39
12
0
16 Jan 2024
Infinite dSprites for Disentangled Continual Learning: Separating Memory
  Edits from Generalization
Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
Sebastian Dziadzio
cCaugatay Yildiz
Gido M. van de Ven
Tomasz Trzciñski
Tinne Tuytelaars
Matthias Bethge
32
1
0
27 Dec 2023
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying
  Partially Observable Environment
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment
Gokul Puthumanaillam
Xiangyu Liu
Negar Mehr
Melkior Ornik
16
5
0
06 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
43
0
0
05 Dec 2023
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
Enhanced Generalization through Prioritization and Diversity in
  Self-Imitation Reinforcement Learning over Procedural Environments with
  Sparse Rewards
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards
Alain Andres
Daochen Zha
Javier Del Ser
39
0
0
01 Nov 2023
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic
  Forgetting in Reinforcement Learning
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
Muhammad Burhan Hafez
Tilman Immisch
Tom Weber
S. Wermter
CLL
23
4
0
03 May 2023
Continual Semantic Segmentation with Automatic Memory Sample Selection
Continual Semantic Segmentation with Automatic Memory Sample Selection
Lanyun Zhu
Tianrun Chen
Jianxiong Yin
Simon See
Jing Liu
CLL
VLM
24
44
0
11 Apr 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
27
11
0
30 Mar 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
52
0
0
04 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
34
14
0
28 Jan 2023
Streaming LifeLong Learning With Any-Time Inference
Streaming LifeLong Learning With Any-Time Inference
S. Banerjee
Vinay Kumar Verma
Vinay P. Namboodiri
CLL
35
3
0
27 Jan 2023
A Distinct Unsupervised Reference Model From The Environment Helps
  Continual Learning
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
Seyyed Amirhossein Ameli Kalkhoran
Mohammadamin Banayeeanzade
Mahdi Samiei
M. Baghshah
BDL
CLL
33
0
0
11 Jan 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
21
20
0
28 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
43
7
0
26 Nov 2022
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang
Oya Celiktutan
CLL
27
7
0
24 Nov 2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual
  Question Answering
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Yao Zhang
Haokun Chen
A. Frikha
Yezi Yang
Denis Krompass
Gengyuan Zhang
Jindong Gu
Volker Tresp
VLM
LRM
16
7
0
19 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
42
29
0
18 Nov 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial
  Auditing
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing
Marco Schreyer
Hamed Hemati
Damian Borth
M. Vasarhelyi
FedML
45
3
0
26 Oct 2022
Learn the Time to Learn: Replay Scheduling in Continual Learning
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson
Hedvig Kjellström
Chen Zhang
CLL
37
9
0
18 Sep 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong
Jongheon Jeong
Taewon Kim
Yewon Kim
Jinwoo Shin
Sung-Ju Lee
OOD
TTA
33
122
0
10 Aug 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
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
36
12
0
09 Aug 2022
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Yuxuan Ding
Lingqiao Liu
Chunna Tian
Jingyuan Yang
Haoxuan Ding
CLL
VLM
KELM
24
51
0
19 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
37
27
0
15 Jul 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
31
124
0
26 May 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
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
FedML
CLL
OOD
MedIm
36
17
0
26 Apr 2022
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot
  Object Detection
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection
Karim Guirguis
Ahmed Hendawy
George Eskandar
Mohamed Abdelsamad
Matthias Kayser
Jürgen Beyerer
27
15
0
11 Apr 2022
Meta-attention for ViT-backed Continual Learning
Meta-attention for ViT-backed Continual Learning
Mengqi Xue
Haofei Zhang
Mingli Song
Mingli Song
CLL
32
42
0
22 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
32
20
0
14 Mar 2022
Avalanche RL: a Continual Reinforcement Learning Library
Avalanche RL: a Continual Reinforcement Learning Library
Nicolo Lucchesi
Antonio Carta
Vincenzo Lomonaco
Davide Bacciu
42
6
0
28 Feb 2022
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
J. Ide
Daria Mićović
Michael J. Guarino
K. Alcedo
D. Rosenbluth
Adrian P. Pope
13
3
0
07 Feb 2022
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