Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

28 May 2022

Papers citing "Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges"

50 / 58 papers shown

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Towards Compute-Optimal Transfer Learning Massimo Caccia Alexandre Galashov Arthur Douillard Amal Rannen-Triki Dushyant Rao Michela Paganini Laurent Charlin MarcÁurelio Ranzato Razvan Pascanu 36 3 0 25 Apr 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 72 18 0 15 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 98 27 0 28 Sep 2022
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 77 28 0 15 Jul 2022
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 59 15 0 08 Dec 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 87 669 0 30 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research Fabrice Normandin Florian Golemo O. Ostapenko Pau Rodríguez López Matthew D Riemer ... Dominic Zhao Timothée Lesort Laurent Charlin Irina Rish Massimo Caccia CLL 47 21 0 02 Aug 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 40 47 0 05 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 116 673 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 107 1,635 0 02 Jun 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 57 95 0 23 May 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 77 56 0 04 Apr 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 53 108 0 12 Mar 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 57 190 0 11 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 96 318 0 25 Dec 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting Jorge Armando Mendez Mendez Boyu Wang Eric Eaton CLL 62 38 0 14 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 57 22 0 01 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 71 34 0 19 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 64 65 0 18 Jun 2020
Continual Reinforcement Learning with Multi-Timescale Replay Christos Kaplanis Claudia Clopath Murray Shanahan CLL 37 14 0 16 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 52 181 0 30 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar Abhishek Gupta Sergey Levine OffRL 39 101 0 16 Mar 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 147 1,209 0 19 Jan 2020
Regularization Shortcomings for Continual Learning Timothée Lesort Andrei Stoian David Filliat CLL 68 50 0 06 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 361 42,299 0 03 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 224 1,160 0 24 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 70 144 0 30 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 32 12 0 22 Sep 2019
Online Continual Learning with Maximally Interfered Retrieval Rahaf Aljundi Lucas Caccia Eugene Belilovsky Massimo Caccia Min Lin Laurent Charlin Tinne Tuytelaars CLL 67 541 0 11 Aug 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 49 61 0 11 Jul 2019
Task Agnostic Continual Learning via Meta Learning Xu He Jakub Sygnowski Alexandre Galashov Andrei A. Rusu Yee Whye Teh Razvan Pascanu OOD CLL FedML 49 94 0 12 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 111 23 0 03 Jun 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory A. Sorokin Andrey Kravchenko KELM CLL 29 4 0 07 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 61 54 0 05 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 77 545 0 29 Apr 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 78 889 0 15 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 78 653 0 19 Mar 2019
On Tiny Episodic Memories in Continual Learning Arslan Chaudhry Marcus Rohrbach Mohamed Elhoseiny Thalaiyasingam Ajanthan P. Dokania Philip Torr MarcÁurelio Ranzato CLL 82 397 0 27 Feb 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 87 191 0 18 Dec 2018
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 76 230 0 06 Dec 2018
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 112 1,156 0 28 Nov 2018
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 108 886 0 16 May 2018
Continuous Learning in a Hierarchical Multiscale Neural Network Thomas Wolf Julien Chaumond Clement Delangue CLL AI4CE NoLa BDL 25 6 0 15 May 2018
Task Agnostic Continual Learning Using Online Variational Bayes Chen Zeno Itay Golan Elad Hoffer Daniel Soudry CLL FedML BDL 46 110 0 27 Mar 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 84 455 0 28 Feb 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 61 87 0 20 Feb 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 89 1,137 0 30 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 281 8,313 0 04 Jan 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning Arun Mallya Svetlana Lazebnik CLL 105 1,296 0 15 Nov 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 502 2,217 0 25 Jul 2017