End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 924 papers shown

Title
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning Hongpeng Cao Mirco Theile Federico G. Wyrwal Marco Caccamo 48 7 0 04 Mar 2022
Task-grasping from human demonstration Daichi Saito Kazuhiro Sasabuchi Naoki Wake Jun Takamatsu Hideki Koike Katsushi Ikeuchi 36 8 0 01 Mar 2022
Generalizable task representation learning from human demonstration videos: a geometric approach Jun Jin Martin Jägersand 13 5 0 28 Feb 2022
ReorientBot: Learning Object Reorientation for Specific-Posed Placement Kentaro Wada Stephen James Andrew J. Davison 42 29 0 22 Feb 2022
A Benchmark Comparison of Learned Control Policies for Agile Quadrotor Flight Elia Kaufmann L. Bauersfeld Davide Scaramuzza 46 70 0 22 Feb 2022
Equivariant Transporter Network Hao-zhe Huang Dian Wang Robin Walters Robert Platt 76 55 0 18 Feb 2022
MuZero with Self-competition for Rate Control in VP9 Video Compression Amol Mandhane A. Zhernov Maribeth Rauh Chenjie Gu Miaosen Wang ... Jackson Broshear Julian Schrittwieser Thomas Hubert Oriol Vinyals Timothy A. Mann 37 44 0 14 Feb 2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation Tianying Wang En Yen Puang Marcus Lee Yongpeng Wu Wei Jing SSL 38 5 0 12 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 38 29 0 10 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 42 75 0 07 Feb 2022
Practical Imitation Learning in the Real World via Task Consistency Loss Mohi Khansari Daniel Ho Yuqing Du Armando Fuentes Matthew Bennice Nicolas Sievers Sean Kirmani Yunfei Bai Eric Jang SSL 24 8 0 03 Feb 2022
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration Bowen Wen Wenzhao Lian Kostas Bekris S. Schaal 29 91 0 30 Jan 2022
Quantile-Based Policy Optimization for Reinforcement Learning Jinyang Jiang Jiaqiao Hu Yijie Peng 33 7 0 27 Jan 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 36 17 0 24 Jan 2022
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan 39 5 0 21 Jan 2022
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation Rishabh Jangir Nicklas Hansen Sambaran Ghosal Mohit Jain Xiaolong Wang 34 67 0 19 Jan 2022
Neural Circuit Architectural Priors for Embodied Control Nikhil X. Bhattasali A. Zador Tatiana A. Engel 88 5 0 13 Jan 2022
Multiagent Model-based Credit Assignment for Continuous Control Dongge Han Chris Xiaoxuan Lu Tomasz P. Michalak Michael Wooldridge 27 5 0 27 Dec 2021
Off Environment Evaluation Using Convex Risk Minimization Pulkit Katdare Shuijing Liu Katherine Driggs-Campbell 18 2 0 21 Dec 2021
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee Tianhao Wu Yunchang Yang Han Zhong Liwei Wang S. Du Jiantao Jiao 60 14 0 21 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 62 26 0 17 Dec 2021
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning Yunhao Tang 27 7 0 14 Dec 2021
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility Hideyuki Ichiwara Hiroshi Ito Kenjiro Yamamoto Hiroki Mori Tetsuya Ogata 26 21 0 13 Dec 2021
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution Yunru Bai Chen Gong Bin Zhang Guoliang Fan Xinwen Hou Yu Liu 27 6 0 09 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 33 16 0 08 Dec 2021
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 84 20 0 06 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 29 18 0 02 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 35 7 0 24 Nov 2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren Tianjun Zhang Csaba Szepesvári Bo Dai 32 19 0 22 Nov 2021
Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo Edward Johns SSL 32 23 0 14 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 45 63 0 04 Nov 2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning Sindre Benjamin Remman Inga Strümke A. Lekkas CML 19 7 0 04 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 45 90 0 28 Oct 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 23 8 0 28 Oct 2021
Off-Dynamics Inverse Reinforcement Learning from Hetero-Domain Yachen Kang Jinxin Liu Xin Cao Donglin Wang 23 3 0 21 Oct 2021
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System M. Schultheis Dominik Straub Constantin Rothkopf 21 20 0 21 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information Jin Li Xianyuan Zhan Zixu Xiao Guyue Zhou OffRL OnRL 29 2 0 21 Oct 2021
Provable Regret Bounds for Deep Online Learning and Control Xinyi Chen Edgar Minasyan Jason D. Lee Elad Hazan 41 6 0 15 Oct 2021
Offline Reinforcement Learning with Soft Behavior Regularization Haoran Xu Xianyuan Zhan Jianxiong Li Honglei Yin OffRL 31 31 0 14 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 32 80 0 08 Oct 2021
Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations Sindre Benjamin Remman A. Lekkas 28 14 0 07 Oct 2021
Deep reinforcement learning for guidewire navigation in coronary artery phantom Jihoon Kweon Kyunghwan Kim Chaehyuk Lee Hwi Kwon Jinwoo Park ... Inwook Back J. Roh Y. Moon Jaesoon Choi Young-Hak Kim OnRL 27 33 0 05 Oct 2021
Reinforcement Learning for Quantitative Trading Shuo Sun R. Wang Bo An OffRL AIFin 28 51 0 28 Sep 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets F. Ebert Yanlai Yang Karl Schmeckpeper Bernadette Bucher G. Georgakis Kostas Daniilidis Chelsea Finn Sergey Levine 169 223 0 27 Sep 2021
The $f$ -Divergence Reinforcement Learning Framework Chen Gong Qiang He Yunpeng Bai Zhouyi Yang Xiaoyu Chen Xinwen Hou Xianjie Zhang Yu Liu Guoliang Fan 42 3 0 24 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 24 30 0 24 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 50 24 0 21 Sep 2021
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 32 12 0 17 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks M. H. Lim Andy Zeng Brian Ichter Maryam Bandari Erwin Coumans Claire Tomlin S. Schaal Aleksandra Faust 42 14 0 15 Sep 2021
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning Zhehua Zhou Ozgur S. Oguz Yi Ren M. Leibold M. Buss OffRL 22 0 0 10 Sep 2021