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CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning
v1v2 (latest)

CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning

5 September 2024
John Birkbeck
Adam Sobey
Federico Cerutti
Katherine Heseltine Hurley Flynn
Timothy J. Norman
ArXiv (abs)PDFHTMLGithub

Papers citing "CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning"

11 / 11 papers shown
Lifelong Reinforcement Learning with Modulating Masks
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu
Saptarshi Nath
Praveen K. Pilly
Soheil Kolouri
Andrea Soltoggio
CLLOffRL
447
28
0
21 Dec 2022
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2021
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLLOffRL
267
57
0
05 Jun 2021
Lifetime policy reuse and the importance of task capacity
Lifetime policy reuse and the importance of task capacityAI Communications (AI Commun.), 2021
David M. Bossens
Adam Sobey
CLLOffRL
334
3
0
03 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLLOffRL
399
122
0
23 May 2021
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without ForgettingNeural Information Processing Systems (NeurIPS), 2020
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
262
42
0
14 Jul 2020
Lipschitz Lifelong Reinforcement Learning
Lipschitz Lifelong Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Erwan Lecarpentier
David Abel
Kavosh Asadi
Yuu Jinnai
Emmanuel Rachelson
Michael L. Littman
OffRLCLL
298
43
0
15 Jan 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningConference on Robot Learning (CoRL), 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
873
1,560
0
24 Oct 2019
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.5K
26,647
0
20 Jul 2017
Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
J. Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
R. Hadsell
CLLAI4CE
721
2,823
0
15 Jun 2016
Clustering Markov Decision Processes For Continual Transfer
Clustering Markov Decision Processes For Continual Transfer
M. H. Mahmud
Majd Hawasly
Benjamin Rosman
S. Ramamoorthy
OffRL
358
22
0
15 Nov 2013
Metrics for Finite Markov Decision Processes
Metrics for Finite Markov Decision ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2004
N. Ferns
Prakash Panangaden
Doina Precup
296
353
0
11 Jul 2012
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