Building a Subspace of Policies for Scalable Continual Learning

Building a Subspace of Policies for Scalable Continual Learning

18 November 2022

Jean-Baptiste Gaya

Lucas Page-Caccia

Ludovic Denoyer

Roberta Raileanu

Papers citing "Building a Subspace of Policies for Scalable Continual Learning"

18 / 18 papers shown

Title
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 101 0 0 07 Mar 2025
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning Anthony Kobanda Rémy Portelas Odalric-Ambrym Maillard Ludovic Denoyer OffRL CLL 77 0 0 19 Dec 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 45 0 0 19 Aug 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 36 1 0 30 Jul 2024
I Know How: Combining Prior Policies to Solve New Tasks Malio Li Elia Piccoli Vincenzo Lomonaco Davide Bacciu CLL 21 0 0 14 Jun 2024
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay Jinmei Liu Wenbin Li Xiangyu Yue Shilin Zhang Chunlin Chen Zhi Wang OffRL DiffM 29 5 0 16 Apr 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem Maciej Wolczyk Bartłomiej Cupiał M. Ostaszewski Michal Bortkiewicz Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 40 13 0 05 Feb 2024
Hierarchical Continual Reinforcement Learning via Large Language Model Chaofan Pan Xin Yang Hao Wang Wei Wei Tianrui Li 20 2 0 25 Jan 2024
Identifying Policy Gradient Subspaces Jan Schneider-Barnes Pierre Schumacher Simon Guist Le Chen D. Haeufle Bernhard Scholkopf Dieter Buchler 20 5 0 12 Jan 2024
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi-Hua Zhou LLMAG 21 4 0 22 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 46 0 16 Jul 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 23 23 0 03 Jul 2023
Evaluating Continual Learning on a Home Robot Sam Powers Abhi Gupta Chris Paxton CLL 23 3 0 04 Jun 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 21 7 0 07 May 2023
The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler M. Ostaszewski Michal Bortkiewicz M. Żarski Maciej Wołczyk Jack Parker-Holder Stephen J. Roberts Piotr Milo's KELM OffRL CLL 17 7 0 29 Nov 2022
SaLinA: Sequential Learning of Agents Ludovic Denoyer Alfredo De la Fuente S. Duong Jean-Baptiste Gaya Pierre-Alexandre Kamienny Daniel H. Thompson 31 11 0 15 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 87 54 0 01 Oct 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 14 305 0 25 Dec 2020