Machine Learning Meets Advanced Robotic Manipulation

22 September 2023

Papers citing "Machine Learning Meets Advanced Robotic Manipulation"

50 / 50 papers shown

Title
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning Seungjae Lee Jigang Kim Inkyu Jang H. J. Kim OffRL 72 13 0 11 Oct 2022
A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning Shengzeng Huo Fan Wang Luyin Hu Peng Zhou Jihong Zhu Hesheng Wang D. Navarro-Alarcon 65 1 0 13 Sep 2022
Learning Deformable Object Manipulation from Expert Demonstrations G. Salhotra Isabella Liu Marcus Dominguez-Kuhne Gaurav Sukhatme 50 29 0 20 Jul 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum Lingfeng Tao Jiucai Zhang Xiaoli Zhang 70 5 0 26 May 2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation Alex X. Lee Coline Devin Jost Tobias Springenberg Yuxiang Zhou Thomas Lampe A. Abdolmaleki Konstantinos Bousmalis OffRL OnRL 59 15 0 06 May 2022
DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning Diego Rodriguez Sven Behnke 56 48 0 01 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 57 126 0 31 May 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 45 37 0 27 May 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 54 34 0 15 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 190 1,218 0 02 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 152 528 0 04 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 179 82 0 16 Jan 2021
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 175 729 0 24 Sep 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 51 157 0 09 Sep 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 131 1,806 0 08 Jun 2020
Smooth Exploration for Robotic Reinforcement Learning Antonin Raffin Jens Kober F. Stulp 60 58 0 12 May 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 63 123 0 07 Apr 2020
Options of Interest: Temporal Abstraction with Interest Functions Khimya Khetarpal Martin Klissarov Maxime Chevalier-Boisvert Pierre-Luc Bacon Doina Precup 45 45 0 01 Jan 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 87 359 0 06 Jul 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 71 148 0 20 Jun 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 83 948 0 19 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 47 73 0 13 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 64 89 0 10 Jun 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 100 436 0 26 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,527 0 12 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 84 1,430 0 12 Nov 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 125 1,874 0 01 Aug 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 75 605 0 18 Jun 2018
Latent Space Policies for Hierarchical Reinforcement Learning Tuomas Haarnoja Kristian Hartikainen Pieter Abbeel Sergey Levine BDL 65 193 0 09 Apr 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 105 21,386 0 08 Apr 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 56 317 0 28 Feb 2018
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation Tianhao Zhang Zoe McCarthy Owen Jow Dennis Lee Xi Chen Ken Goldberg Pieter Abbeel SSL 71 656 0 12 Oct 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 126 1,093 0 28 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 239 2,322 0 05 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,433 0 15 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 216 2,959 0 20 Mar 2017
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta Coline Devin YuXuan Liu Pieter Abbeel Sergey Levine 82 268 0 08 Mar 2017
Towards Generalization and Simplicity in Continuous Control Aravind Rajeswaran Kendall Lowrey E. Todorov Sham Kakade OffRL 84 276 0 08 Mar 2017
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 177 15,602 0 25 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 297 814 0 13 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 577 28,964 0 09 Sep 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 77 4,163 0 25 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 298 13,214 0 09 Sep 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 643 36,801 0 08 Jun 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 334 13,123 0 12 Mar 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 252 6,887 0 12 Mar 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 196 8,321 0 06 Nov 2014
Bregman Alternating Direction Method of Multipliers Huahua Wang A. Banerjee 69 206 0 13 Jun 2013