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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"

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Title
Variance-reduced $Q$ -learning is minimax optimal Martin J. Wainwright OffRL 87 93 0 11 Jun 2019
Exploration via Hindsight Goal Generation Zhizhou Ren Kefan Dong Yuanshuo Zhou Qiang Liu Jian-wei Peng 89 90 0 10 Jun 2019
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping Adam W. Harley S. K. Lakshmikanth Fangyu Li Xian Zhou H. Tung Katerina Fragkiadaki SSL 83 5 0 10 Jun 2019
A Hierarchical Network for Diverse Trajectory Proposals Sriram Narayanan Gourav Kumar Abhay Singh M. Karthik Brojeshwar Bhowmick K. M. Krishna 40 5 0 09 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization Cecilia Summers M. Dinneen 85 52 0 09 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 89 49 0 07 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 58 13 0 05 Jun 2019
Reinforcement Learning Experience Reuse with Policy Residual Representation Wen-Ji Zhou Yang Yu Yingfeng Chen Kai Guan Tangjie Lv Changjie Fan Zhi Zhou OffRL 19 2 0 31 May 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 74 36 0 31 May 2019
Does computer vision matter for action? Brady Zhou Philipp Krahenbuhl V. Koltun LM&Ro 126 107 0 30 May 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation Byung Hoon Ahn Prannoy Pilligundla H. Esmaeilzadeh 73 20 0 30 May 2019
CopyCAT: Taking Control of Neural Policies with Constant Attacks Léonard Hussenot Matthieu Geist Olivier Pietquin AAML 59 31 0 29 May 2019
Snooping Attacks on Deep Reinforcement Learning Matthew J. Inkawhich Yiran Chen Hai Helen Li AAML 68 25 0 28 May 2019
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification Xuwang Yin Soheil Kolouri Gustavo K. Rohde AAML 117 44 0 27 May 2019
Safe Reinforcement Learning with Nonlinear Dynamics via Model Predictive Shielding Osbert Bastani 70 9 0 25 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 76 30 0 25 May 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 51 44 0 23 May 2019
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies Domingo Esteban Leonel Rozo D. Caldwell OffRL 52 7 0 23 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 69 83 0 21 May 2019
Reinforcement Learning without Ground-Truth State Xingyu Lin H. Baweja David Held OffRL SSL 91 24 0 20 May 2019
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation Daniel Gordon Abhishek Kadian Devi Parikh Judy Hoffman Dhruv Batra 90 75 0 18 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning Brian Yang Jesse Zhang Vitchyr H. Pong Sergey Levine Dinesh Jayaraman 77 37 0 17 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan Peijie Wang OffRL 130 50 0 16 May 2019
Let's Push Things Forward: A Survey on Robot Pushing Jochen Stüber Claudio Zito Rustam Stolkin AI4CE 80 100 0 13 May 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda Prabuchandran K.J. S. Bhatnagar 73 18 0 08 May 2019
Uncertainty-Aware Data Aggregation for Deep Imitation Learning Yuchen Cui David Isele S. Niekum K. Fujimura 198 27 0 07 May 2019
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning Muhammad Burhan Hafez C. Weber Matthias Kerzel S. Wermter 32 10 0 05 May 2019
Perceptual Attention-based Predictive Control Keuntaek Lee G. N. An Viacheslav Zakharov Evangelos A. Theodorou 74 19 0 26 Apr 2019
Stochastic Lipschitz Q-Learning Xu Zhu 71 4 0 24 Apr 2019
Generative Exploration and Exploitation Jiechuan Jiang Zongqing Lu 39 6 0 21 Apr 2019
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing Matthias Muller Guohao Li Vincent Casser Neil G. Smith D. L. Michels Guohao Li 51 13 0 18 Apr 2019
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems Ran A. Wang Karthikeya S. Parunandi Dan Yu D. Kalathil S. Chakravorty 53 12 0 17 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 57 18 0 15 Apr 2019
Curious iLQR: Resolving Uncertainty in Model-based RL Sarah Bechtle Yixin Lin Akshara Rai Ludovic Righetti Franziska Meier 67 34 0 15 Apr 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation Benjamin Beyret A. Shafti A. Faisal 149 74 0 14 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 89 153 0 12 Apr 2019
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight Annie Xie F. Ebert Sergey Levine Chelsea Finn LM&Ro 71 80 0 11 Apr 2019
A review on Neural Turing Machine Soroor Malekmohamadi Faradonbe Faramarz Safi Esfahani AI4CE 162 6 0 10 Apr 2019
Multi-Target Embodied Question Answering Licheng Yu Xinlei Chen Georgia Gkioxari Joey Tianyi Zhou Tamara L. Berg Dhruv Batra 88 107 0 09 Apr 2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout Hao Tan Licheng Yu Joey Tianyi Zhou SSL 91 322 0 08 Apr 2019
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception Erik Wijmans Samyak Datta Oleksandr Maksymets Abhishek Das Georgia Gkioxari Stefan Lee Irfan Essa Devi Parikh Dhruv Batra 3DPC LM&Ro 90 169 0 06 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 81 25 0 03 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 79 28 0 27 Mar 2019
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving Akifumi Wachi AAML 85 70 0 26 Mar 2019
Long range teleoperation for fine manipulation tasks under time-delay network conditions Jun Jin Laura Petrich Shida He Masood Dehghan Martin Jägersand 62 3 0 21 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning Sandy H. Huang Martina Zambelli Jackie Kay M. Martins Yuval Tassa P. Pilarski R. Hadsell 75 51 0 20 Mar 2019
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments Xiaotong Chen Rui Chen Zhiqiang Sui Zhefan Ye Yanqi Liu R. I. Bahar Odest Chadwicke Jenkins 145 23 0 20 Mar 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 98 126 0 19 Mar 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 80 6 0 19 Mar 2019