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A Definition of Continual Reinforcement Learning

A Definition of Continual Reinforcement Learning

20 July 2023
David Abel
André Barreto
Benjamin Van Roy
Doina Precup
H. V. Hasselt
Satinder Singh
    CLL
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Papers citing "A Definition of Continual Reinforcement Learning"

45 / 45 papers shown
Title
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
Ashok Arora
Neetesh Kumar
17
0
0
16 May 2025
Plasticity as the Mirror of Empowerment
Plasticity as the Mirror of Empowerment
David Abel
Michael Bowling
André Barreto
Will Dabney
Shi Dong
...
Doina Precup
Jonathan Richens
Mark Rowland
Tom Schaul
Satinder Singh
AI4CE
23
0
0
15 May 2025
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Xiaobao Wu
LRM
72
1
0
05 May 2025
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning
Mingqi Yuan
Qi Wang
Guozheng Ma
Bo-wen Li
Xin Jin
Yunbo Wang
Xiaokang Yang
Wenjun Zeng
D. Tao
OffRL
AI4CE
33
0
0
24 Apr 2025
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Pay Attention to What and Where? Interpretable Feature Extractor in Vision-based Deep Reinforcement Learning
Tien Pham
Angelo Cangelosi
28
0
0
14 Apr 2025
Rethinking the Foundations for Continual Reinforcement Learning
Rethinking the Foundations for Continual Reinforcement Learning
Michael Bowling
Esraa Elelimy
CLL
OffRL
LRM
37
2
0
10 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Z. Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
I. Kolmanovsky
Dimitar Filev
54
0
0
31 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li
M. Milling
Björn Schuller
AI4CE
107
0
0
27 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
149
0
0
07 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRL
CLL
VLM
49
0
0
06 Mar 2025
SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks
Yijie Guo
Bingjie Tang
Iretiayo Akinola
Dieter Fox
Abhishek Gupta
Yashraj S. Narang
44
0
0
06 Mar 2025
Decision Making in Hybrid Environments: A Model Aggregation Approach
Decision Making in Hybrid Environments: A Model Aggregation Approach
Haolin Liu
Chen-Yu Wei
Julian Zimmert
86
0
0
09 Feb 2025
EvoAgent: Agent Autonomous Evolution with Continual World Model for Long-Horizon Tasks
Tongtong Feng
X. Wang
Zekai Zhou
Ren Wang
Yuwei Zhan
Guangyao Li
Qing Li
Wenwu Zhu
LM&Ro
71
0
0
09 Feb 2025
Agency Is Frame-Dependent
Agency Is Frame-Dependent
David Abel
André Barreto
Michael Bowling
Will Dabney
Shi Dong
...
Doina Precup
Jonathan Richens
Mark Rowland
Tom Schaul
Satinder Singh
80
1
0
06 Feb 2025
Circular Microalgae-Based Carbon Control for Net Zero
Circular Microalgae-Based Carbon Control for Net Zero
Federico Zocco
Joan García
W. Haddad
108
0
0
04 Feb 2025
Permutation Invariant Learning with High-Dimensional Particle Filters
Permutation Invariant Learning with High-Dimensional Particle Filters
Akhilan Boopathy
Aneesh Muppidi
Peggy Yang
Abhiram Iyer
William Yue
Ila R Fiete
SSL
36
0
0
30 Oct 2024
Plastic Learning with Deep Fourier Features
Plastic Learning with Deep Fourier Features
Alex Lewandowski
Dale Schuurmans
Marlos C. Machado
CLL
42
3
0
27 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on
  Aligned Spaces
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
Jifeng Hu
Sili Huang
Li Shen
Zhejian Yang
Shengchao Hu
Shisong Tang
H. Chen
Yi-Ju Chang
Dacheng Tao
Lichao Sun
OffRL
36
0
0
21 Oct 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio
Antoine Barrier
Leah F. South
Florence Forbes
23
0
0
16 Oct 2024
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged
  Robots
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
Peilin Wu
Weiji Xie
Jiahang Cao
Hang Lai
Weinan Zhang
26
1
0
26 Sep 2024
Towards certifiable AI in aviation: landscape, challenges, and
  opportunities
Towards certifiable AI in aviation: landscape, challenges, and opportunities
Hymalai Bello
Daniel Geißler
L. Ray
Stefan Muller-Divéky
Peter Muller
Shannon Kittrell
Mengxi Liu
Bo Zhou
Paul Lukowicz
27
1
0
13 Sep 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
50
0
0
19 Aug 2024
The Need for a Big World Simulator: A Scientific Challenge for Continual
  Learning
The Need for a Big World Simulator: A Scientific Challenge for Continual Learning
Saurabh Kumar
Hong Jun Jeon
Alex Lewandowski
Benjamin Van Roy
31
0
0
06 Aug 2024
Exploration Unbound
Exploration Unbound
Dilip Arumugam
Wanqiao Xu
Benjamin Van Roy
31
0
0
16 Jul 2024
Three Dogmas of Reinforcement Learning
Three Dogmas of Reinforcement Learning
David Abel
Mark K. Ho
A. Harutyunyan
38
5
0
15 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang
Vinzenz Thoma
Zebang Shen
H. Nax
Niao He
43
2
0
14 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia L. Herbert
37
6
0
12 Jul 2024
Periodic agent-state based Q-learning for POMDPs
Periodic agent-state based Q-learning for POMDPs
Amit Sinha
Mathieu Geist
Aditya Mahajan
28
0
0
08 Jul 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
37
1
0
30 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
34
21
0
06 Jun 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
34
4
0
26 May 2024
Automatic re-calibration of quantum devices by reinforcement learning
Automatic re-calibration of quantum devices by reinforcement learning
T. Crosta
L. Rebón
F. Vilarino
J. M. Matera
M. Bilkis
28
0
0
16 Apr 2024
Continual Learning for Smart City: A Survey
Continual Learning for Smart City: A Survey
Li Yang
Zhipeng Luo
Shi-sheng Zhang
Fei Teng
Tian-Jie Li
HAI
30
8
0
01 Apr 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
18
8
0
05 Feb 2024
Agent Alignment in Evolving Social Norms
Agent Alignment in Evolving Social Norms
Shimin Li
Tianxiang Sun
Qinyuan Cheng
Xipeng Qiu
LLMAG
28
7
0
09 Jan 2024
Agent based modelling for continuously varying supply chains
Agent based modelling for continuously varying supply chains
Wan Wang
Haiyan Wang
A. J. Sobey
CLL
22
1
0
24 Dec 2023
Prediction and Control in Continual Reinforcement Learning
Prediction and Control in Continual Reinforcement Learning
N. Anand
Doina Precup
OffRL
CLL
27
11
0
18 Dec 2023
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
J. Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
43
44
0
20 Nov 2023
Conditions on Preference Relations that Guarantee the Existence of
  Optimal Policies
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
Jonathan Colaco Carr
Prakash Panangaden
Doina Precup
26
2
0
03 Nov 2023
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents
Olivier Sigaud
Gianluca Baldassarre
Cédric Colas
Stéphane Doncieux
Richard J. Duro
Pierre-Yves Oudeyer
Nicolas Perrin-Gilbert
V. Santucci
AI4CE
24
10
0
01 Nov 2023
Learning to Coordinate with Anyone
Learning to Coordinate with Anyone
Lei Yuan
Lihe Li
Ziqian Zhang
F. Chen
Tianyi Zhang
Cong Guan
Yang Yu
Zhi-Hua Zhou
LLMAG
28
4
0
22 Sep 2023
Continual Learning as Computationally Constrained Reinforcement Learning
Continual Learning as Computationally Constrained Reinforcement Learning
Saurabh Kumar
Henrik Marklund
Anand Srinivasa Rao
Yifan Zhu
Hong Jun Jeon
Yueyang Liu
Benjamin Van Roy
CLL
27
22
0
10 Jul 2023
Resetting the Optimizer in Deep RL: An Empirical Study
Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi
Rasool Fakoor
Shoham Sabach
ODL
16
23
0
30 Jun 2023
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
85
0
0
09 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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