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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 / 1,178 papers shown

Title
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 133 36 0 06 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 89 29 0 06 Sep 2019
A Data-Efficient Deep Learning Approach for Deployable Multimodal Social Robots Heriberto Cuayáhuitl OffRL 53 17 0 27 Aug 2019
Situational Fusion of Visual Representation for Visual Navigation Bokui (William) Shen Danfei Xu Yuke Zhu Leonidas Guibas Fei-Fei Li Silvio Savarese SSL 95 62 0 24 Aug 2019
A Comparison of Action Spaces for Learning Manipulation Tasks Patrick Varin Lev Grossman S. Kuindersma 67 34 0 23 Aug 2019
Automated Architecture Design for Deep Neural Networks Steven Abreu 3DV AI4CE 67 16 0 22 Aug 2019
Contact Skill Imitation Learning for Robot-Independent Assembly Programming Stefanie Scherzinger A. Rönnau Rüdiger Dillmann 46 29 0 17 Aug 2019
Neural Re-Simulation for Generating Bounces in Single Images Carlo Innamorati Bryan C. Russell D. Kaufman and Niloy J. Mitra VGen 141 12 0 17 Aug 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 55 25 0 15 Aug 2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction M. Thabet Massimiliano Patacchiola Angelo Cangelosi OffRL 44 12 0 15 Aug 2019
Optimal Attacks on Reinforcement Learning Policies Alessio Russo Alexandre Proutiere AAML 65 42 0 31 Jul 2019
Multi-Agent Adversarial Inverse Reinforcement Learning Lantao Yu Jiaming Song Stefano Ermon 105 137 0 30 Jul 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 92 76 0 29 Jul 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 55 8 0 29 Jul 2019
A Deep Learning Based Attack for The Chaos-based Image Encryption Chen He Kan Ming Yongwei Wang Z. J. Wang AAML 31 16 0 29 Jul 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 97 213 0 28 Jul 2019
Deep Reinforcement Learning for Personalized Search Story Recommendation Jason Zhang Zhang Junming Yin Dongwon Lee Linhong Zhu 55 2 0 26 Jul 2019
Large scale continuous-time mean-variance portfolio allocation via reinforcement learning Haoran Wang AIFin 71 14 0 26 Jul 2019
Towards Generalizing Sensorimotor Control Across Weather Conditions Qadeer Ahmad Khan Patrick Wenzel Zorah Lähner Laura Leal-Taixé 54 6 0 25 Jul 2019
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving Maria Hügle Gabriel Kalweit Branka Mirchevska M. Werling Joschka Boedecker 58 61 0 25 Jul 2019
Variance Reduction in Actor Critic Methods (ACM) Eric Benhamou OffRL 62 4 0 23 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 124 119 0 22 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Yue Liu Basel Alomair AAML 106 70 0 21 Jul 2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery Kristian Hartikainen Xinyang Geng Tuomas Haarnoja Sergey Levine SSL 116 82 0 18 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 136 220 0 13 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 64 19 0 11 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning Rishabh Agarwal Dale Schuurmans Mohammad Norouzi OffRL OnRL 124 70 0 10 Jul 2019
Hybrid system identification using switching density networks Michael G. Burke Yordan V. Hristov S. Ramamoorthy 65 13 0 09 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 84 93 0 08 Jul 2019
Robust Guarantees for Perception-Based Control Sarah Dean Nikolai Matni Benjamin Recht Vickie Ye 121 80 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation Ankush Chakrabarty Devesh K. Jha G. Buzzard Yebin Wang K. Vamvoudakis 57 26 0 03 Jul 2019
Perspective Taking in Deep Reinforcement Learning Agents Aqeel Labash Jaan Aru Tambet Matiisen Ardi Tampuu Raul Vicente LRM 76 11 0 03 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 61 20 0 03 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 136 414 0 02 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 87 16 0 02 Jul 2019
FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control Longxiang Shi Shijian Li LongBing Cao Long Yang Gang Zheng Gang Pan 34 5 0 01 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 157 250 0 29 Jun 2019
Sample Efficient Learning of Path Following and Obstacle Avoidance Behavior for Quadrotors Stefan Stevšić Tobias Nägeli Javier Alonso-Mora Otmar Hilliges 32 19 0 28 Jun 2019
From self-tuning regulators to reinforcement learning and back again Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu 127 88 0 27 Jun 2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs Soheil Kolouri Aniruddha Saha Hamed Pirsiavash Heiko Hoffmann AAML 94 237 0 26 Jun 2019
Learning to Interactively Learn and Assist Mark P. Woodward Chelsea Finn Karol Hausman 103 33 0 24 Jun 2019
Planning Robot Motion using Deep Visual Prediction Meenakshi Sarkar Prabhu Pradhan Debasish Ghose 70 6 0 24 Jun 2019
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks Roberto Martín-Martín Michelle A. Lee Rachel Gardner Silvio Savarese Jeannette Bohg Animesh Garg 95 198 0 20 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 128 150 0 20 Jun 2019
PyRobot: An Open-source Robotics Framework for Research and Benchmarking Adithyavairavan Murali Tao Chen Kalyan Vasudev Alwala Dhiraj Gandhi Lerrel Pinto Saurabh Gupta Abhinav Gupta 72 108 0 19 Jun 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning Yiding Jiang S. Gu Kevin Patrick Murphy Chelsea Finn OffRL 71 225 0 18 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces Guy Lorberbom Chris J. Maddison N. Heess Tamir Hazan Daniel Tarlow 92 8 0 14 Jun 2019
Multigrid Neural Memory T. Huynh Michael Maire Matthew R. Walter 64 10 0 13 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards Gerrit Schoettler Ashvin Nair Jianlan Luo Shikhar Bahl J. A. Ojea Eugen Solowjow Sergey Levine OffRL 66 193 0 13 Jun 2019