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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

15 July 2022
Jorge Armando Mendez Mendez
Eric Eaton
    KELM
    CLL
ArXivPDFHTML

Papers citing "How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition"

16 / 16 papers shown
Title
Neural network task specialization via domain constraining
Neural network task specialization via domain constraining
Roman Malashin
Daniil Ilyukhin
49
0
0
28 Apr 2025
Compositional Instruction Following with Language Models and Reinforcement Learning
Compositional Instruction Following with Language Models and Reinforcement Learning
Vanya Cohen
Geraud Nangue Tasse
N. Gopalan
Steven D. James
Matthew C. Gombolay
Ray Mooney
Benjamin Rosman
66
0
0
21 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
63
1
0
03 Jan 2025
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
45
55
0
10 Oct 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
24
5
0
13 Jul 2023
Embodied Lifelong Learning for Task and Motion Planning
Embodied Lifelong Learning for Task and Motion Planning
Jorge Armando Mendez Mendez
L. Kaelbling
Tomás Lozano-Pérez
22
16
0
13 Jul 2023
Modular Lifelong Reinforcement Learning via Neural Composition
Modular Lifelong Reinforcement Learning via Neural Composition
Jorge Armando Mendez Mendez
H. V. Seijen
Eric Eaton
OffRL
KELM
CLL
68
38
0
01 Jul 2022
Achieving Forgetting Prevention and Knowledge Transfer in Continual
  Learning
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
173
121
0
05 Dec 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
66
42
0
01 Oct 2021
Formalizing the Generalization-Forgetting Trade-off in Continual
  Learning
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan
Prasanna Balaprakash
CLL
54
28
0
28 Sep 2021
Kernel Continual Learning
Kernel Continual Learning
Mohammad Mahdi Derakhshani
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
CLL
BDL
VLM
70
38
0
12 Jul 2021
Coordination Among Neural Modules Through a Shared Global Workspace
Coordination Among Neural Modules Through a Shared Global Workspace
Anirudh Goyal
Aniket Didolkar
Alex Lamb
Kartikeya Badola
Nan Rosemary Ke
Nasim Rahaman
Jonathan Binas
Charles Blundell
Michael C. Mozer
Yoshua Bengio
144
98
0
01 Mar 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
35
57
0
13 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
1