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End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

50 / 1,177 papers shown

Title
SORNet: Spatial Object-Centric Representations for Sequential Manipulation Wentao Yuan Chris Paxton Karthik Desingh Dieter Fox 3DPC 240 72 0 08 Sep 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu He Yin L. Ghaoui Murat Arcak Peter M. Seiler Ming Jin 88 26 0 08 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 93 45 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 153 392 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 78 20 0 26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 72 65 0 20 Aug 2021
Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay Tianhong Dai Hengyan Liu Kai Arulkumaran Guangyu Ren Anil Anthony Bharath 72 11 0 17 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 66 7 0 16 Aug 2021
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning Wanpeng Zhang Xi Xiao Yaowen Yao Mingzhe Chen Dijun Luo OffRL 28 1 0 03 Aug 2021
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning Bibek Poudel Thomas Watson Weizi Li 60 14 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 158 138 0 30 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 102 30 0 27 Jul 2021
Can Action be Imitated? Learn to Reconstruct and Transfer Human Dynamics from Videos Yu Fu Yanwei Fu Yu-Gang Jiang 130 3 0 25 Jul 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 83 91 0 19 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Wenliang Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 73 31 0 15 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 163 29 0 13 Jul 2021
Hierarchical Neural Dynamic Policies Shikhar Bahl Abhinav Gupta Deepak Pathak BDL 89 28 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 73 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 95 12 0 10 Jul 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 70 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 99 108 0 08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 111 115 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 52 36 0 06 Jul 2021
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces N. Botteghi K. Alaa M. Poel B. Sirmaçek C. Brune A. Mersha Stefano Stramigioli SSL 47 11 0 04 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 125 137 0 01 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 87 144 0 01 Jul 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding Grace Zhang Li Zhong Youngwoon Lee Joseph J. Lim 67 15 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 126 25 0 30 Jun 2021
Instance-optimality in optimal value estimation: Adaptivity via variance-reduced Q-learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan OffRL 63 22 0 28 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 87 57 0 26 Jun 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 135 81 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 93 49 0 25 Jun 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 69 5 0 24 Jun 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation Yunhao Tang Tadashi Kozuno Mark Rowland Rémi Munos Michal Valko OffRL 136 9 0 24 Jun 2021
Policy Smoothing for Provably Robust Reinforcement Learning Aounon Kumar Alexander Levine Soheil Feizi AAML 131 59 0 21 Jun 2021
Scientific multi-agent reinforcement learning for wall-models of turbulent flows H. J. Bae Petros Koumoutsakos AI4CE 75 137 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 139 65 0 17 Jun 2021
Automatic Curricula via Expert Demonstrations Siyu Dai Andreas G. Hofmann B. Williams 65 6 0 16 Jun 2021
GKNet: grasp keypoint network for grasp candidates detection Ruinian Xu Fu-Jen Chu Patricio A. Vela 3DPC 71 39 0 16 Jun 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity Dhruv Malik Aldo Pacchiano Vishwak Srinivasan Yuanzhi Li 57 6 0 15 Jun 2021
Markov Decision Processes with Long-Term Average Constraints Mridul Agarwal Qinbo Bai Vaneet Aggarwal 52 6 0 12 Jun 2021
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty A. Ranjbar Ngo Anh Vien Hanna Ziesche Joschka Boedecker Gerhard Neumann 75 10 0 08 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL Bogdan Mazoure Ahmed M. Ahmed Patrick MacAlpine R. Devon Hjelm Andrey Kolobov 76 27 0 04 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 84 33 0 01 Jun 2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation Stephen James Andrew J. Davison 96 129 0 31 May 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows Samuel von Baussnern Johannes Otterbach Adrian Loy Mathieu Salzmann Thomas Wollmann 36 1 0 30 May 2021
On the Theory of Reinforcement Learning with Once-per-Episode Feedback Niladri S. Chatterji Aldo Pacchiano Peter L. Bartlett Michael I. Jordan OffRL 83 26 0 29 May 2021
GMAC: A Distributional Perspective on Actor-Critic Framework D. W. Nam Younghoon Kim Chan Y. Park 79 17 0 24 May 2021
Model-Based Offline Planning with Trajectory Pruning Xianyuan Zhan Xiangyu Zhu Haoran Xu OffRL 119 37 0 16 May 2021
Explainable Hierarchical Imitation Learning for Robotic Drink Pouring Dandan Zhang Yu Zheng Qiang Li Lei Wei Dongsheng Zhang Zhengyou Zhang 63 32 0 16 May 2021