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
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model Hakan Girgin Emmanuel Pignat Noémie Jaquier Sylvain Calinon 16 7 0 06 Aug 2020
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction Iman Nematollahi Oier Mees Lukás Hermann Wolfram Burgard 20 15 0 02 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 46 9 0 26 Jul 2020
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks Xiaofeng Gao Ran Gong Yizhou Zhao Shu Wang Tianmin Shu Song-Chun Zhu 18 35 0 24 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 51 167 0 09 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 41 159 0 08 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 31 287 0 08 Jul 2020
FlowControl: Optical Flow Based Visual Servoing Max Argus Lukás Hermann Jon Long Thomas Brox 25 25 0 01 Jul 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 19 50 0 29 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 13 31 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 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 32 41 0 12 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations Tianyu Wang Vikas Dhiman Nikolay Atanasov 38 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 168 11 0 08 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 34 0 02 Jun 2020
Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera Damian Bogunowicz A. Rybnikov Komal Vendidandi Fedor Chervinskii 17 7 0 29 May 2020
LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular Vision Zheyu Zhuang Xin Yu Robert E. Mahony 42 5 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 23 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 29 10 0 21 May 2020
Mirror Descent Policy Optimization Manan Tomar Lior Shani Yonathan Efroni Mohammad Ghavamzadeh 25 83 0 20 May 2020
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning G. Novati Hugues Lascombes de Laroussilhe Petros Koumoutsakos AI4CE 34 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 26 74 0 15 May 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces Aditya M. Deshpande A. Minai Manish Kumar 16 58 0 12 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 15 32 0 06 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 21 232 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 48 140 0 30 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 33 43 0 21 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 177 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 35 20 0 29 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning Philip Becker-Ehmck Maximilian Karl Jan Peters Patrick van der Smagt SSL 44 37 0 19 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning Guilherme J. Maeda Joni Väätäinen Hironori Yoshida 22 2 0 16 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 27 109 0 11 Mar 2020
Stable Policy Optimization via Off-Policy Divergence Regularization Ahmed Touati Amy Zhang Joelle Pineau Pascal Vincent OffRL 36 17 0 09 Mar 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata Dieter Fox 147 45 0 08 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 85 216 0 02 Mar 2020
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs Edouard Leurent D. Efimov Odalric-Ambrym Maillard 22 3 0 25 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 31 169 0 20 Feb 2020
Learning Pregrasp Manipulation of Objects from Ungraspable Poses Zhaole Sun Kai Yuan Wenbin Hu Chuanyu Yang Zhibin Li SSL 27 28 0 15 Feb 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi V. Cevher 31 60 0 14 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 30 25 0 14 Feb 2020
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems Joao Paulo Jansch-Porto Bin Hu Geir Dullerud 27 35 0 10 Feb 2020
Autonomous quadrotor obstacle avoidance based on dueling double deep recurrent Q-learning with monocular vision Jiajun Ou Xiao Guo Ming Zhu Wenjie Lou 27 30 0 10 Feb 2020
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP) Zhimin Hou Kuangen Zhang Yi Wan Dongyu Li Chenglong Fu Haoyong Yu 27 15 0 07 Feb 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 36 67 0 26 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 57 226 0 23 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,175 0 19 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC Keuntaek Lee Jason Gibson Evangelos A. Theodorou 33 31 0 07 Jan 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 22 54 0 06 Jan 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 30 38 0 02 Jan 2020