DisCoRL: Continual Reinforcement Learning via Policy Distillation

DisCoRL: Continual Reinforcement Learning via Policy Distillation

11 July 2019

Kalifou René Traoré

Hugo Caselles-Dupré

Timothée Lesort

Natalia Díaz Rodríguez

Papers citing "DisCoRL: Continual Reinforcement Learning via Policy Distillation"

9 / 9 papers shown

Title
Continual Model-based Reinforcement Learning for Data Efficient Wireless Network Optimisation Cengis Hasan Alexandros Agapitos David Lynch Alberto Castagna Giorgio Cruciata Hao Wang Aleksandar Milenovic 46 0 0 30 Apr 2024
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 30 0 0 05 Dec 2023
Guarded Policy Optimization with Imperfect Online Demonstrations Zhenghai Xue Zhenghao Peng Quanyi Li Zhihan Liu Bolei Zhou OffRL 43 10 0 03 Mar 2023
Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya T. Doan Lucas Page-Caccia Laure Soulier Ludovic Denoyer Roberta Raileanu CLL 29 29 0 18 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 62 27 0 28 Sep 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data Wenxuan Zhou Steven Bohez Jan Humplik A. Abdolmaleki Dushyant Rao Markus Wulfmeier Tuomas Haarnoja N. Heess OffRL 32 6 0 12 Apr 2022
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Learning in Volatile Environments with the Bayes Factor Surprise Vasiliki Liakoni Alireza Modirshanechi W. Gerstner Johanni Brea 11 2 0 05 Jul 2019