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Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
v1v2 (latest)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2

9 August 2022
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
    CLLOffRL
ArXiv (abs)PDFHTML

Papers citing "Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2"

40 / 40 papers shown
Title
Lifelong Learning Metrics
Lifelong Learning Metrics
Alexander New
Megan M. Baker
Eric Q. Nguyen
Gautam K. Vallabha
41
17
0
20 Jan 2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time
  Series Data
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber
Roberto Corizzo
B. Sniezynski
Michael Baron
Nathalie Japkowicz
AI4TS
50
23
0
18 Jan 2022
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
107
14
0
18 May 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
70
132
0
01 Apr 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
87
68
0
25 Mar 2021
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A
  Systematic Mapping Study
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
Justus Bogner
Roberto Verdecchia
I. Gerostathopoulos
39
37
0
17 Mar 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei
Akilesh Badrinaaraayanan
Aaron Courville
Sarath Chandar
CLLOffRL
73
41
0
04 Mar 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
109
320
0
25 Dec 2020
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning
  for Session-based Recommendation
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
Fei Mi
Xiao Lin
Boi Faltings
CLL
60
53
0
23 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
69
38
0
14 Jul 2020
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
41
7
0
14 Jul 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
45
121
0
13 Jun 2020
Uncertainty-based Modulation for Lifelong Learning
Uncertainty-based Modulation for Lifelong Learning
Andrew P. Brna
Ryan C. Brown
P. Connolly
Stephen B. Simons
R. E. Shimizu
Mario Aguilar-Simon
34
18
0
27 Jan 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes
Kushal Kafle
Robik Shrestha
Manoj Acharya
Christopher Kanan
CLL
116
300
0
06 Oct 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRLBDL
147
1,815
0
02 Jun 2019
Three scenarios for continual learning
Three scenarios for continual learning
Gido M. van de Ven
A. Tolias
CLL
99
893
0
15 Apr 2019
Unsupervised Progressive Learning and the STAM Architecture
Unsupervised Progressive Learning and the STAM Architecture
James Smith
Cameron Taylor
Seth Baer
C. Dovrolis
OffRLCLL
51
39
0
03 Apr 2019
Continual Learning Using World Models for Pseudo-Rehearsal
Continual Learning Using World Models for Pseudo-Rehearsal
Nicholas A. Ketz
Soheil Kolouri
Praveen K. Pilly
KELMCLL
27
7
0
06 Mar 2019
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without
  Catastrophic Forgetting
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
C. Atkinson
B. McCane
Lech Szymanski
Anthony Robins
VLMCLL
43
102
0
06 Dec 2018
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,163
0
28 Nov 2018
Generative replay with feedback connections as a general strategy for
  continual learning
Generative replay with feedback connections as a general strategy for continual learning
Gido M. van de Ven
A. Tolias
CLLKELM
75
226
0
27 Sep 2018
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
125
889
0
16 May 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
88
457
0
28 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
220
1,600
0
05 Feb 2018
A Deeper Look at Experience Replay
A Deeper Look at Experience Replay
Shangtong Zhang
R. Sutton
OffRLVLM
70
275
0
04 Dec 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
53
64
0
17 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
226
5,019
0
02 Nov 2017
Multi-Agent Distributed Lifelong Learning for Collective Knowledge
  Acquisition
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition
Mohammad Rostami
Soheil Kolouri
Kyungnam Kim
Eric Eaton
FedMLCLL
46
35
0
15 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
78
874
0
16 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
517
19,065
0
20 Jul 2017
Continual Learning with Deep Generative Replay
Continual Learning with Deep Generative Replay
Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
KELMCLL
80
2,077
0
24 May 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
369
7,518
0
02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
154
3,761
0
23 Nov 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
209
2,513
0
16 Jun 2016
Policy Distillation
Policy Distillation
Andrei A. Rusu
Sergio Gomez Colmenarejo
Çağlar Gülçehre
Guillaume Desjardins
J. Kirkpatrick
Razvan Pascanu
Volodymyr Mnih
Koray Kavukcuoglu
R. Hadsell
89
692
0
19 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
220
3,789
0
18 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,231
0
19 Dec 2013
Sample Complexity of Multi-task Reinforcement Learning
Sample Complexity of Multi-task Reinforcement Learning
Emma Brunskill
Lihong Li
84
138
0
26 Sep 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
229
3,221
0
02 Nov 2010
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