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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
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization Qi Zhou Houqiang Li Jie Wang 75 17 0 28 Nov 2019
Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning Mark Edmonds Xiaojian Ma Siyuan Qi Yixin Zhu Hongjing Lu Song-Chun Zhu 91 27 0 25 Nov 2019
A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control Yuguang Yang 21 1 0 25 Nov 2019
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation Pietro Falco Abdallah Attawia Matteo Saveriano Dongheui Lee 72 30 0 20 Nov 2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks Vibhavari Dasagi Robert Lee Jake Bruce Jurgen Leitner OffRL 56 2 0 20 Nov 2019
Towards Robust RGB-D Human Mesh Recovery Ren Li Changjiang Cai G. Georgakis Srikrishna Karanam Terrence Chen Ziyan Wu 3DH 70 11 0 18 Nov 2019
Learning One-Shot Imitation from Humans without Humans Alessandro Bonardi Stephen James Andrew J. Davison 92 80 0 04 Nov 2019
Learning from Trajectories via Subgoal Discovery S. Paul J. Baar Amit K. Roy-Chowdhury 151 48 0 03 Nov 2019
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly Kevin Zakka Andy Zeng Johnny Lee Shuran Song 3DPC 97 111 0 30 Oct 2019
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 78 202 0 29 Oct 2019
Feedback Linearization for Unknown Systems via Reinforcement Learning T. Westenbroek David Fridovich-Keil Eric Mazumdar Shreyas Arora Valmik Prabhu S. Shankar Sastry Claire Tomlin 51 28 0 29 Oct 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators Chengshu Li Fei Xia R. M. Martin Silvio Savarese 84 103 0 24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 340 1,182 0 24 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 89 68 0 23 Oct 2019
State2vec: Off-Policy Successor Features Approximators Sephora Madjiheurem Laura Toni OOD OffRL 49 5 0 22 Oct 2019
Bottom-Up Meta-Policy Search Luckeciano C. Melo Marcos R. O. A. Máximo A. Cunha 68 6 0 22 Oct 2019
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight Valts Blukis Yannick Terme Eyvind Niklasson Ross A. Knepper Yoav Artzi 65 77 0 21 Oct 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Jianchao Tan Bin Hu Tamer Basar 97 121 0 21 Oct 2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research Ashish Kumar Toby Buckley John B. Lanier Qiaozhi Wang A. Kavelaars Ilya Kuzovkin OffRL 101 14 0 18 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 88 41 0 09 Oct 2019
Multimodal representation models for prediction and control from partial information Martina Zambelli Antoine Cully Y. Demiris 53 27 0 09 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici V. Sivakumar Tim Rocktaschel Edward Grefenstette OffRL 94 58 0 08 Oct 2019
Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach Sahba Aghajani Pedram P. Ferguson Changyeob Shin Ankur M. Mehta E. Dutson Farshid Alambeigi J. Rosen 82 25 0 08 Oct 2019
Self-Paced Contextual Reinforcement Learning Pascal Klink Hany Abdulsamad Boris Belousov Jan Peters 75 49 0 07 Oct 2019
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 135 444 0 07 Oct 2019
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action Mathieu Seurin Philippe Preux Olivier Pietquin 77 12 0 04 Oct 2019
Embodied Language Grounding with 3D Visual Feature Representations Mihir Prabhudesai H. Tung Syed Ashar Javed Maximilian Sieb Adam W. Harley Katerina Fragkiadaki 122 21 0 02 Oct 2019
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan Maximilian Lam Sharad Chitlangia Zishen Wan Gabriel Barth-Maron Aleksandra Faust Vijay Janapa Reddi MQ 49 26 0 02 Oct 2019
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping Cristian Bodnar A. Li Karol Hausman P. Pastor Mrinal Kalakrishnan OffRL 70 52 0 01 Oct 2019
Domain Adaptive Imitation Learning Kuno Kim Yihong Gu Jiaming Song Shengjia Zhao Stefano Ermon 65 9 0 30 Sep 2019
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 90 75 0 30 Sep 2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning Haotian Fu Hongyao Tang Jianye Hao Wulong Liu Chong Chen 64 3 0 30 Sep 2019
Leveraging Multimodal Haptic Sensory Data for Robust Cutting Kevin Zhang Mohit Sharma Manuela Veloso Oliver Kroemer 130 38 0 27 Sep 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi Sergio Gomez Colmenarejo Alexander Novikov Ksenia Konyushkova Scott E. Reed ... David Barker Jonathan Scholz Misha Denil Nando de Freitas Ziyun Wang OffRL 114 29 0 26 Sep 2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer Andrew Hundt Benjamin Killeen Nicholas Greene Hongtao Wu Heeyeon Kwon Chris Paxton Gregory Hager OffRL 82 8 0 25 Sep 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 246 417 0 25 Sep 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 58 16 0 25 Sep 2019
Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter P. Abolghasemi Ladislau Bölöni OffRL 85 10 0 24 Sep 2019
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning? W. Lewis Mark Moll Lydia E. Kavraki OffRL 50 5 0 20 Sep 2019
Adversarial Feature Training for Generalizable Robotic Visuomotor Control Xi Chen Ali Ghadirzadeh Mårten Björkman Patric Jensfelt 72 13 0 17 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 173 106 0 16 Sep 2019
Self-Supervised Correspondence in Visuomotor Policy Learning Peter R. Florence Lucas Manuelli Russ Tedrake SSL 117 164 0 16 Sep 2019
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 78 20 0 15 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation Suraj Nair Chelsea Finn VGen 99 138 0 12 Sep 2019
Reinforcement Learning for Portfolio Management Angelos Filos 61 36 0 12 Sep 2019
Tactile-Based Insertion for Dense Box-Packing Siyuan Dong Alberto Rodriguez 161 55 0 12 Sep 2019
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning Wenjie Shi Shiji Song Cheng Wu 71 38 0 07 Sep 2019
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