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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 / 1,175 papers shown

Title
Computational Design of Passive Grippers Milin Kodnongbua Ian Good J. I. Lipton Adriana Schulz 83 11 0 05 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 86 14 0 31 May 2023
Imitating Task and Motion Planning with Visuomotor Transformers Murtaza Dalal Ajay Mandlekar Caelan Reed Garrett Ankur Handa Ruslan Salakhutdinov Dieter Fox 172 57 0 25 May 2023
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation Minho Heo Youngwoon Lee Doohyun Lee Joseph J. Lim 103 96 0 22 May 2023
Pittsburgh Learning Classifier Systems for Explainable Reinforcement Learning: Comparing with XCS Jordan T. Bishop M. Gallagher Will N. Browne 16 3 0 17 May 2023
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning Jyun-Yi Chen Saeed Saeedvand I-Wei Lai 48 2 0 08 May 2023
Causal Policy Gradient for Whole-Body Mobile Manipulation Jiaheng Hu Peter Stone Roberto Martín-Martín 124 24 0 04 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 77 7 0 25 Apr 2023
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks Jesse Farebrother Joshua Greaves Rishabh Agarwal Charline Le Lan Ross Goroshin Pablo Samuel Castro Marc G. Bellemare 108 29 0 25 Apr 2023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization Glen Chou Russ Tedrake 74 2 0 24 Apr 2023
Adaptive Failure Search Using Critical States from Domain Experts Peter Du Katherine Driggs-Campbell 116 10 0 01 Apr 2023
Learning Human-Inspired Force Strategies for Robotic Assembly Stefanie Scherzinger A. Roennau Rüdiger Dillmann 42 5 0 22 Mar 2023
Deep Q-Network Based Decision Making for Autonomous Driving M. Ronecker Yuan-xian Zhu 67 32 0 21 Mar 2023
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators Yin-Huan Han Meisam Razaviyayn Renyuan Xu 112 5 0 15 Mar 2023
Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks C. Acar Kuluhan Binici Alp Tekirdag Yan Wu 64 3 0 13 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 137 18 0 02 Mar 2023
Open-World Object Manipulation using Pre-trained Vision-Language Models Austin Stone Ted Xiao Yao Lu K. Gopalakrishnan Kuang-Huei Lee ... Sean Kirmani Brianna Zitkovich F. Xia Chelsea Finn Karol Hausman LM&Ro 270 156 0 02 Mar 2023
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 114 0 0 27 Feb 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 142 40 0 21 Feb 2023
Understanding the effect of varying amounts of replay per step A. Paul Videh Raj Nema 57 0 0 20 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 95 11 0 11 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 129 10 0 11 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization Zichuan Lin Xiapeng Wu Mingfei Sun Deheng Ye Qiang Fu Wei Yang Wei Liu 108 3 0 05 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints Akhil Agnihotri R. Jain Haipeng Luo 118 2 0 02 Feb 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 91 10 0 28 Jan 2023
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Kate Larson Mark Crowley 58 1 0 26 Jan 2023
Bias-Compensated Integral Regression for Human Pose Estimation Kerui Gu Linlin Yang Michael Bi Mi Angela Yao 101 20 0 25 Jan 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 103 57 0 14 Jan 2023
TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems Matteo Gallici Mario Martin Ivan Masmitja OffRL 33 10 0 13 Jan 2023
Hint assisted reinforcement learning: an application in radio astronomy S. Yatawatta 148 1 0 10 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 138 20 0 31 Dec 2022
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 72 0 0 29 Dec 2022
A Hierarchical Framework for Collaborative Artificial Intelligence James L. Crowley J. Coutaz Jasmin Grosinger Javier Vázquez-Salceda C. Angulo Alberto Sanfeliu Luca Iocchi Anthony G. Cohn 30 6 0 14 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 95 23 0 13 Dec 2022
MIRA: Mental Imagery for Robotic Affordances Lin Yen-Chen Pete Florence Andy Zeng Jonathan T. Barron Yilun Du Wei-Chiu Ma Anthony Simeonov Alberto Rodriguez Garcia Phillip Isola LM&Ro 141 33 0 12 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations Nicklas Hansen Yixin Lin H. Su Xiaolong Wang Vikash Kumar Aravind Rajeswaran OffRL 81 51 0 12 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 95 2 0 10 Dec 2022
Generalizing LTL Instructions via Future Dependent Options Duo Xu Faramarz Fekri OffRL AI4CE 89 1 0 08 Dec 2022
VideoDex: Learning Dexterity from Internet Videos Kenneth Shaw Shikhar Bahl Deepak Pathak 111 96 0 08 Dec 2022
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories Pengzhi Yang Shumon Koga Arash Asgharivaskasi Nikolay Atanasov 83 3 0 03 Dec 2022
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning Nikhil Kumar Singh Indranil Saha 48 6 0 02 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 96 1 0 01 Dec 2022
Continuous Neural Algorithmic Planners Yu He Petar Velivcković Pietro Lio Andreea Deac 77 6 0 29 Nov 2022
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation Hiroki Furuta Yusuke Iwasawa Yutaka Matsuo S. Gu 83 17 0 25 Nov 2022
Deep Reinforcement Learning with Vector Quantized Encoding Liang Zhang Justin Lieffers A. Pyarelal OffRL 63 2 0 12 Nov 2022
TAP-Vid: A Benchmark for Tracking Any Point in a Video Carl Doersch Ankush Gupta L. Markeeva Adrià Recasens Lucas Smaira Y. Aytar João Carreira Andrew Zisserman Yezhou Yang 128 166 0 07 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 76 32 0 03 Nov 2022
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity Wen-Min Zhou David Held OffRL 86 61 0 02 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 86 4 0 28 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 136 16 0 27 Oct 2022