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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 / 1,175 papers shown

Title
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch Luca Viano Yu-ting Huang Parameswaran Kamalaruban Adrian Weller Volkan Cevher 130 28 0 02 Jul 2020
Towards Generalization and Data Efficient Learning of Deep Robotic Grasping Zhixin Chen Mengxiang Lin Zhixin Jia Shibo Jian 48 6 0 02 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 68 25 0 01 Jul 2020
Supervised Learning and Reinforcement Learning of Feedback Models for Reactive Behaviors: Tactile Feedback Testbed Giovanni Sutanto Katharina Rombach Yevgen Chebotar Zhe Su S. Schaal Gaurav Sukhatme Franziska Meier 39 5 0 29 Jun 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles Travis Manderson J. A. G. Higuera Stefan Wapnick J. Tremblay Florian Shkurti David Meger Gregory Dudek 57 50 0 29 Jun 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 94 188 0 26 Jun 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies Tsung-Yen Yang Justinian P. Rosca Karthik Narasimhan Peter J. Ramadge 103 19 0 20 Jun 2020
Optimizing Interactive Systems via Data-Driven Objectives Ziming Li Julia Kiseleva A. Grotov Maarten de Rijke Harrie Oosterhuis OffRL 48 3 0 19 Jun 2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration Xiang Gao J. Si Yue Wen Minhan Li He H. Huang 55 32 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 79 52 0 16 Jun 2020
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach Guannan Qu Chenkai Yu S. Low Adam Wierman 66 19 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 100 40 0 12 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations Tianyu Wang Vikas Dhiman Nikolay Atanasov 131 4 0 09 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory Yufeng Zhang Qi Cai Zhuoran Yang Yongxin Chen Zhaoran Wang OOD MLT 360 11 0 08 Jun 2020
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 74 16 0 04 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 84 34 0 02 Jun 2020
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space Jonas C. Kiemel Robin Weitemeyer Pascal Meissner Torsten Kröger TTA 51 3 0 30 May 2020
Complex Sequential Understanding through the Awareness of Spatial and Temporal Concepts Bo Pang Kaiwen Zha Hanwen Cao Jiajun Tang Minghui Yu Cewu Lu 82 25 0 30 May 2020
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera Damian Bogunowicz A. Rybnikov Komal Vendidandi Fedor Chervinskii 133 7 0 29 May 2020
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce Jianxiong Wei Anxiang Zeng Yueqiu Wu P. Guo Q. Hua Qingpeng Cai OffRL 74 9 0 25 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 138 60 0 21 May 2020
TASO: Time and Space Optimization for Memory-Constrained DNN Inference Yuan Wen Andrew Anderson Valentin Radu Michael F. P. O'Boyle David Gregg 55 10 0 21 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 164 87 0 20 May 2020
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning G. Novati Hugues Lascombes de Laroussilhe Petros Koumoutsakos AI4CE 106 15 0 18 May 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 78 76 0 15 May 2020
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management Jianwen Sun Yan Zheng Jianye Hao Zhaopeng Meng Yang Liu 71 15 0 14 May 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 72 118 0 14 May 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 77 19 0 13 May 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces Aditya M. Deshpande A. Minai Manish Kumar 53 58 0 12 May 2020
Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks Haonan Chang Zhuo Xu Masayoshi Tomizuka 43 7 0 07 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 56 32 0 06 May 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation Hany Abdulsamad Jan Peters 31 9 0 04 May 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning Hanrui Wang Kuan-Chieh Wang Jiacheng Yang Linxiao Shen Nan Sun Hae-Seung Lee Song Han GNN 75 244 0 30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 192 143 0 30 Apr 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks Gerrit Schoettler Ashvin Nair J. A. Ojea Sergey Levine Eugen Solowjow OffRL OnRL 70 87 0 29 Apr 2020
Transferable Active Grasping and Real Embodied Dataset Xiangyu Chen Zelin Ye Jiankai Sun Yuda Fan Fangwei Hu Chenxi Wang Cewu Lu 54 19 0 28 Apr 2020
The Ingredients of Real-World Robotic Reinforcement Learning Henry Zhu Justin Yu Abhishek Gupta Dhruv Shah Kristian Hartikainen Avi Singh Vikash Kumar Sergey Levine OffRL 161 181 0 27 Apr 2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning Keting Lu Shiqi Zhang Xiaoping Chen OffRL OnRL 44 3 0 22 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning Ryan Julian Benjamin Swanson Gaurav Sukhatme Sergey Levine Chelsea Finn Karol Hausman OnRL CLL 94 43 0 21 Apr 2020
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Yixin Zhu Tao Gao Lifeng Fan Siyuan Huang Mark Edmonds ... Fangqiu Yi Siyuan Qi Ying Nian Wu J. Tenenbaum Song-Chun Zhu 115 130 0 20 Apr 2020
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning Keuntaek Lee Bogdan I. Vlahov Jason Gibson James M. Rehg Evangelos A. Theodorou 56 10 0 17 Apr 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions Jason J. Choi F. Castañeda Claire Tomlin Koushil Sreenath 83 185 0 16 Apr 2020
Learning visual policies for building 3D shape categories Alexander Pashevich Igor Kalevatykh Ivan Laptev Cordelia Schmid 58 3 0 15 Apr 2020
lamBERT: Language and Action Learning Using Multimodal BERT Kazuki Miyazawa Tatsuya Aoki Takato Horii Takayuki Nagai SSL LM&Ro 85 12 0 15 Apr 2020
Residual Policy Learning for Shared Autonomy Charles B. Schaff Matthew R. Walter 110 41 0 10 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 69 185 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 95 20 0 29 Mar 2020
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks Liyuan Zheng Yuanyuan Shi Lillian J. Ratliff Baosen Zhang 52 20 0 20 Mar 2020
Deep Constrained Q-learning Gabriel Kalweit M. Huegle M. Werling Joschka Boedecker 60 6 0 20 Mar 2020