A Minimalist Approach to Offline Reinforcement Learning

12 June 2021

Papers citing "A Minimalist Approach to Offline Reinforcement Learning"

22 / 522 papers shown

Title
A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer Andreas Radler Marius-Constantin Dinu M. Hofmarcher Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter OffRL 25 17 0 08 Nov 2021
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 60 100 0 06 Nov 2021
False Correlation Reduction for Offline Reinforcement Learning Arvindkumar Krishnakumar Zuyue Fu Lingxiao Wang Zhuoran Yang Chenjia Bai Tianyi Zhou Judy Hoffman Jing Jiang OffRL 39 9 0 24 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 27 2 0 21 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
Value Penalized Q-Learning for Recommender Systems Chengqian Gao Ke Xu Kuangqi Zhou Lanqing Li Xueqian Wang Bo Yuan P. Zhao OffRL 50 20 0 15 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 21 31 0 14 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 38 14 0 10 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 24 80 0 08 Oct 2021
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters Vladislav Kurenkov Sergey Kolesnikov OffRL 18 24 0 08 Oct 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 13 2 0 07 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 25 37 0 04 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 39 130 0 30 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 14 179 0 01 Jul 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning A. Abdolmaleki Sandy H. Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg ... András Gyorgy Csaba Szepesvári R. Hadsell N. Heess Martin Riedmiller OffRL 11 5 0 15 Jun 2021
Model-Based Offline Planning with Trajectory Pruning Xianyuan Zhan Xiangyu Zhu Haoran Xu OffRL 38 36 0 16 May 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 54 225 0 01 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020