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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
v1v2v3 (latest)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Conference on Robot Learning (CoRL), 2018
27 June 2018
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
Eric Jang
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
ArXiv (abs)PDFHTML

Papers citing "QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"

50 / 941 papers shown
Predictive Coding for Decision Transformer
Predictive Coding for Decision TransformerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Tung M. Luu
Donghoon Lee
Chang D. Yoo
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309
6
0
04 Oct 2024
Doubly Optimal Policy Evaluation for Reinforcement Learning
Doubly Optimal Policy Evaluation for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024
Shuze Liu
Claire Chen
Shangtong Zhang
OffRL
403
3
0
03 Oct 2024
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with
  Stationary Distribution Shift Regularization
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift RegularizationInternational Conference on Learning Representations (ICLR), 2024
The Viet Bui
Thanh Hong Nguyen
Tien Mai
OffRL
329
5
0
02 Oct 2024
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D PolicyIEEE International Conference on Robotics and Automation (ICRA), 2024
Ricardo Garcia
Shizhe Chen
Cordelia Schmid
LM&Ro
341
35
0
02 Oct 2024
Continuously Improving Mobile Manipulation with Autonomous Real-World RL
Continuously Improving Mobile Manipulation with Autonomous Real-World RLConference on Robot Learning (CoRL), 2024
Russell Mendonca
Emmanuel Panov
Bernadette Bucher
Jiuguang Wang
Deepak Pathak
OffRL
256
18
0
30 Sep 2024
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2024
Ruiyu Wang
Zheyu Zhuang
Shutong Jin
Nils Ingelhag
Danica Kragic
Florian T. Pokorny
366
0
0
30 Sep 2024
Grounded Curriculum Learning
Grounded Curriculum Learning
Linji Wang
Zifan Xu
Peter Stone
Xuesu Xiao
321
11
0
29 Sep 2024
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable
  Robot Manipulation
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
Homanga Bharadhwaj
Debidatta Dwibedi
Abhinav Gupta
Shubham Tulsiani
Carl Doersch
Ted Xiao
Dhruv Shah
Fei Xia
Dorsa Sadigh
Sean Kirmani
VGenLM&Ro
305
91
0
24 Sep 2024
Development and Validation of Heparin Dosing Policies Using an Offline
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Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
Yooseok Lim
Inbeom Park
Sujee Lee
OffRL
207
1
0
24 Sep 2024
Representing Positional Information in Generative World Models for
  Object Manipulation
Representing Positional Information in Generative World Models for Object Manipulation
Stefano Ferraro
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Sai Rajeswar
LM&RoOCL
251
1
0
18 Sep 2024
Autonomous loading of ore piles with Load-Haul-Dump machines using Deep
  Reinforcement Learning
Autonomous loading of ore piles with Load-Haul-Dump machines using Deep Reinforcement LearningExpert systems with applications (ESWA), 2024
Rodrigo Salas
Francisco Leiva
Javier Ruiz-del-Solar
OffRL
105
3
0
11 Sep 2024
Robust Loss Functions for Object Grasping under Limited Ground Truth
Robust Loss Functions for Object Grasping under Limited Ground Truth
Yangfan Deng
Mengyao Zhang
Yong Zhao
NoLa
241
0
0
09 Sep 2024
RoboKoop: Efficient Control Conditioned Representations from Visual
  Input in Robotics using Koopman Operator
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman OperatorConference on Robot Learning (CoRL), 2024
Hemant Kumawat
Biswadeep Chakraborty
Saibal Mukhopadhyay
310
4
0
04 Sep 2024
In-Context Imitation Learning via Next-Token Prediction
In-Context Imitation Learning via Next-Token PredictionIEEE International Conference on Robotics and Automation (ICRA), 2024
Letian Fu
Huang Huang
Gaurav Datta
Lawrence Yunliang Chen
William Chung-Ho Panitch
Fangchen Liu
Hui Li
Ken Goldberg
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222
40
0
28 Aug 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational DynamicsIEEE International Conference on Robotics and Automation (ICRA), 2024
Yixuan Huang
Christopher Agia
Jimmy Wu
Tucker Hermans
Jeannette Bohg
3DPC
495
7
0
27 Aug 2024
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation LearningConference on Robot Learning (CoRL), 2024
Joey Hejna
Chethan Bhateja
Yichen Jian
Karl Pertsch
Dorsa Sadigh
268
39
0
26 Aug 2024
Emotion-Agent: Unsupervised Deep Reinforcement Learning with
  Distribution-Prototype Reward for Continuous Emotional EEG Analysis
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Zhihao Zhou
Qile Liu
Jiyuan Wang
Zhen Liang
164
0
0
22 Aug 2024
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen-Ru Lai
Fu-Chieh Chang
Pei-Yuan Wu
OffRL
516
1
0
22 Aug 2024
Scaling Cross-Embodied Learning: One Policy for Manipulation,
  Navigation, Locomotion and Aviation
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and AviationConference on Robot Learning (CoRL), 2024
Ria Doshi
Homer Walke
Oier Mees
Sudeep Dasari
Sergey Levine
385
98
0
21 Aug 2024
A Survey of Embodied Learning for Object-Centric Robotic Manipulation
A Survey of Embodied Learning for Object-Centric Robotic ManipulationMachine Intelligence Research (MIR), 2024
Ying Zheng
Lei Yao
Yuejiao Su
Yi Zhang
Yi Wang
Sicheng Zhao
Yiyi Zhang
Lap-Pui Chau
LM&Ro
243
23
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21 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A SurveyACM Computing Surveys (ACM CSUR), 2024
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
588
13
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20 Aug 2024
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
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Rafael Rafailov
Kyle Hatch
Anikait Singh
Laura Smith
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Victor Kolev
Philip J. Ball
Jiajun Wu
Chelsea Finn
Sergey Levine
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215
11
0
15 Aug 2024
Listwise Reward Estimation for Offline Preference-based Reinforcement
  Learning
Listwise Reward Estimation for Offline Preference-based Reinforcement LearningInternational Conference on Machine Learning (ICML), 2024
Heewoong Choi
Sangwon Jung
Hongjoon Ahn
Taesup Moon
OffRL
277
10
0
08 Aug 2024
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for
  Accurate Robotic Grasping Under the Occlusion
LAC-Net: Linear-Fusion Attention-Guided Convolutional Network for Accurate Robotic Grasping Under the OcclusionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Jinyu Zhang
Yongchong Gu
Jianxiong Gao
Haitao Lin
Qiang Sun
Xinwei Sun
Xiangyang Xue
Yanwei Fu
180
4
0
06 Aug 2024
How to Choose a Reinforcement-Learning Algorithm
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Fabian Bongratz
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Lukas Mautner
Luca Della Libera
Frederik Heetmeyer
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Daniel Cremers
210
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0
30 Jul 2024
Autonomous Improvement of Instruction Following Skills via Foundation
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Zhiyuan Zhou
P. Atreya
Abraham Lee
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Oier Mees
Sergey Levine
253
27
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30 Jul 2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Theia: Distilling Diverse Vision Foundation Models for Robot LearningConference on Robot Learning (CoRL), 2024
Jinghuan Shang
Karl Schmeckpeper
Brandon B. May
M. Minniti
Tarik Kelestemur
David Watkins
Laura Herlant
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273
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HRP: Human Affordances for Robotic Pre-Training
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Mohan Kumar Srirama
Sudeep Dasari
Shikhar Bahl
Abhinav Gupta
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Answerability Fields: Answerable Location Estimation via Diffusion
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Domain Adaptation of Visual Policies with a Single Demonstration
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GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment
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Model-based Policy Optimization using Symbolic World Model
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ThinkGrasp: A Vision-Language System for Strategic Part Grasping in
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PUZZLES: A Benchmark for Neural Algorithmic Reasoning
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OpenVLA: An Open-Source Vision-Language-Action Model
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LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning
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