End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 922 papers shown

Title
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 44 0 07 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 77 372 0 01 Sep 2021
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control Wanpeng Zhang Xiaoyan Cao Yaowen Yao Zhicheng An Xi Xiao Dijun Luo OffRL 38 18 0 26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 60 0 20 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 38 7 0 16 Aug 2021
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning Bibek Poudel Thomas Watson Weizi Li 29 13 0 31 Jul 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 44 132 0 30 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 27 0 27 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 86 0 19 Jul 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 68 0 15 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 86 28 0 13 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 33 27 0 12 Jul 2021
Explore and Control with Adversarial Surprise Arnaud Fickinger Natasha Jaques Samyak Parajuli Michael Chang Nicholas Rhinehart Glen Berseth Stuart J. Russell Sergey Levine 42 8 0 12 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang Minghao Zhang Nicklas Hansen Huazhe Xu Xiaolong Wang OffRL 23 102 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 112 0 07 Jul 2021
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections Dylan P. Losey Andrea V. Bajcsy M. O'Malley Anca Dragan 16 36 0 06 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 44 135 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 30 141 0 01 Jul 2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar Michael Laskey Kevin Stone Brijen Thananjeyan Mark Tjersland 53 25 0 30 Jun 2021
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks A. S. Morgan Bowen Wen Junchi Liang Abdeslam Boularias A. Dollar Kostas Bekris 32 54 0 26 Jun 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 33 78 0 25 Jun 2021
POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems Chao Huang Jiameng Fan Zhilu Wang Yixuan Wang Weichao Zhou Jiajun Li Xin Chen Wenchao Li Qi Zhu 40 48 0 25 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 37 5 0 24 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine S. Feizi AAML 20 56 0 21 Jun 2021
Scientific multi-agent reinforcement learning for wall-models of turbulent flows H. J. Bae Petros Koumoutsakos AI4CE 27 131 0 21 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 33 64 0 17 Jun 2021
GKNet: grasp keypoint network for grasp candidates detection Ruinian Xu Fu-Jen Chu Patricio A. Vela 3DPC 29 37 0 16 Jun 2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training Yatong Bai Tanmay Gautam Yujie Gai Somayeh Sojoudi AAML 29 3 0 25 May 2021
On Minimizing the Number of Running Buffers for Tabletop Rearrangement Kai-Xin Gao S. Feng Jingjin Yu 27 14 0 13 May 2021
Challenges and Outlook in Robotic Manipulation of Deformable Objects Jihong Zhu A. Cherubini C. Dune D. Navarro-Alarcon Farshid Alambeigi ... Jens Kober Xiang-Yang Li Jia Pan Wenzhen Yuan Michael Gienger AI4CE 47 201 0 04 May 2021
Learning to drive from a world on rails Di Chen V. Koltun Philipp Krahenbuhl 98 116 0 03 May 2021
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances Jonathan Horgan Ciarán Hughes J. McDonald S. Yogamani 34 55 0 26 Apr 2021
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking Yuxuan Chen Li Zhang Shijian Li Gang Pan 21 2 0 22 Apr 2021
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving Hengli Wang Peide Cai Rui Fan Yuxiang Sun Ming Liu 40 23 0 18 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 272 0 16 Apr 2021
SOON: Scenario Oriented Object Navigation with Graph-based Exploration Fengda Zhu Xiwen Liang Yi Zhu Xiaojun Chang Xiaodan Liang 27 122 0 31 Mar 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation S. A. Khader Hang Yin Pietro Falco Danica Kragic 21 12 0 30 Mar 2021
Visionary: Vision architecture discovery for robot learning Iretiayo Akinola A. Angelova Yao Lu Yevgen Chebotar Dmitry Kalashnikov Jacob Varley Julian Ibarz Michael S. Ryoo 26 10 0 26 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning A. S. Morgan Daljeet Nandha Georgia Chalvatzaki Carlo DÉramo A. Dollar Jan Peters 48 43 0 25 Mar 2021
Deconvolution-and-convolution Networks Yimin Yang Wandong Zhang Jonathan Wu Will Zhao Ao Chen 21 8 0 22 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization Carmel Rabinovitz Niko A. Grupen Aviv Tamar OOD SSL 28 3 0 20 Mar 2021
Encrypted Value Iteration and Temporal Difference Learning over Leveled Homomorphic Encryption Jihoon Suh Takashi Tanaka 28 19 0 20 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks Wenzhao Lian Tim Kelch D. Holz Adam Norton S. Schaal 21 22 0 08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 39 48 0 08 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 39 41 0 05 Mar 2021
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation Hideyuki Ichiwara Hiroshi Ito Kenjiro Yamamoto Hiroki Mori T. Ogata 3DPC 20 12 0 02 Mar 2021