Offline learning

Learning to Track: Online Multi-object Tracking by Decision Making

Xiang Yu, Alexandre Alahi, Silvio Savarese

Citations: 716 • 2015

Online incremental attribute-based zero-shot learning

P. Kankuekul, Aram Kawewong, Sirinart Tangruamsub, Osamu Hasegawa

Citations: 105 • 2012

Deep reinforcement learning control approach to mitigating actuator attacks

Chengwei Wu, Wei Pan, Rick Staa, Jianxing Liu, Guanghui Sun, Ligang Wu

Citations: 89 • 2023

Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach

Mingrui Yu, Kangchen Lv, Hanzhong Zhong, Shiji Song, Xiang Li

Citations: 82 • 2022

Incremental online sparsification for model learning in real-time robot control

Duy Nguyen-Tuong, Jan Peters

Citations: 73 • 2011

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Ashvin Nair, Abhishek Gupta, Murtaza Dalal, Sergey Levine

Citations: 71 • 2020

A robot that reinforcement-leams to identify and memorize important previous observations

Boudewijn Bakker, Viktor Zhumatiy, G. Gruener, Jürgen Schmidhuber

Citations: 56 • 2004

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu

Citations: 50 • 2020

Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge

Andriy Sarabakha, Erdal Kayacan

Citations: 48 • 2019

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning

Jinning Li, Chen Tang, Masayoshi Tomizuka

Citations: 37 • 2022

Learning the Correct Robot Trajectory in Real-Time from Physical Human Interactions

Dylan P. Losey, Marcia K. O’Malley

Citations: 31 • 2019

An Online Time-Optimal Trajectory Planning Method for Constrained Multi-Axis Trajectory With Guaranteed Feasibility

Suqin He, Chuxiong Hu, Shize Lin, Yu Zhu

Citations: 31 • 2022

Sparse online model learning for robot control with support vector regression

Duy Nguyen-Tuong, Bernhard Schölkopf, Jan Peters

Citations: 29 • 2009

Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep Kalathil, Srinivas Shakkottai

Citations: 26 • 2022

Accelerating Robotic Reinforcement Learning via Parameterized Action\n Primitives

Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

Citations: 25 • 2021

Model-Based Offline Planning

Arthur Argenson, Gabriel Dulac-Arnold

Citations: 20 • 2020

Offline-to-Online Reinforcement Learning via Balanced Replay and\n Pessimistic Q-Ensemble

Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin

Citations: 18 • 2021

When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?

Aviral Kumar, Joey Hong, Anikait Singh, Sergey Levine

Citations: 17 • 2022

Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System

Chengmin Zhou, Bingding Huang, Pasi Fränti

Citations: 16 • 2023

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning

Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang

Citations: 16 • 2022