Towards Continual Reinforcement Learning: A Review and Perspectives

25 December 2020

Papers citing "Towards Continual Reinforcement Learning: A Review and Perspectives"

24 / 74 papers shown

Title
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 28 73 0 11 Jan 2022
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 35 26 0 17 Dec 2021
Continual Learning In Environments With Polynomial Mixing Times Matthew D Riemer Sharath Chandra Raparthy Ignacio Cases G. Subbaraj M. P. Touzel Irina Rish CLL 33 8 0 13 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 21 16 0 08 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 39 26 0 06 Dec 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 21 5 0 29 Oct 2021
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 121 95 0 06 Oct 2021
Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 33 27 0 23 Sep 2021
Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai Dong-Ki Kim Matthew D Riemer Miao Liu Gerald Tesauro Jonathan P. How OffRL 31 9 0 20 Sep 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness Shibhansh Dohare R. Sutton A. R. Mahmood CLL 36 80 0 13 Aug 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 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 11 46 0 05 Jun 2021
Universal Off-Policy Evaluation Yash Chandak S. Niekum Bruno C. da Silva Erik Learned-Miller Emma Brunskill Philip S. Thomas OffRL ELM 30 52 0 26 Apr 2021
Avalanche: an End-to-End Library for Continual Learning Vincenzo Lomonaco Lorenzo Pellegrini Andrea Cossu Antonio Carta G. Graffieti ... Christopher Kanan J. Weijer Tinne Tuytelaars D. Bacciu Davide Maltoni BDL AI4TS 23 180 0 01 Apr 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 42 73 0 13 Feb 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 32 29 0 24 Oct 2020
Towards Safe Policy Improvement for Non-Stationary MDPs Yash Chandak Scott M. Jordan Georgios Theocharous Martha White Philip S. Thomas OffRL 65 33 0 23 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 109 194 0 07 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 231 4,460 0 23 Jan 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 266 5,326 0 05 Nov 2016