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
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics Letian Chen Nina Moorman Matthew C. Gombolay OffRL LM&Ro 103 0 0 27 Nov 2024
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning Jiange Yang Haoyi Zhu Yuanda Wang Gangshan Wu Tong He Limin Wang 108 2 0 21 Nov 2024
Bimanual Dexterity for Complex Tasks Kenneth Shaw Yulong Li Jiahui Yang Mohan Kumar Srirama Ray Liu Haoyu Xiong Russell Mendonca Deepak Pathak 83 19 0 20 Nov 2024
Vocal Sandbox: Continual Learning and Adaptation for Situated Human-Robot Collaboration J. Grannen Siddharth Karamcheti Suvir Mirchandani Percy Liang Dorsa Sadigh 51 0 0 04 Nov 2024
Regret of exploratory policy improvement and $q$ -learning Wenpin Tang X. Zhou 44 0 0 02 Nov 2024
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control Jianing Qian Yunshuang Li Bernadette Bucher Dinesh Jayaraman OCL 49 0 0 02 Nov 2024
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling Davide Celestini Daniele Gammelli T. Guffanti Simone DÁmico Elisa Capello Marco Pavone 49 8 0 31 Oct 2024
Predictive Reachability for Embodiment Selection in Mobile Manipulation Behaviors Xiaoxu Feng Takato Horii Takayuki Nagai 26 0 0 28 Oct 2024
Getting By Goal Misgeneralization With a Little Help From a Mentor Tu Trinh Mohamad H. Danesh Nguyen X. Khanh Benjamin Plaut 39 1 0 28 Oct 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 44 1 0 27 Oct 2024
Visual Imitation Learning of Non-Prehensile Manipulation Tasks with Dynamics-Supervised Models Abdullah Mustafa Ryo Hanai Ixchel Ramirez Floris Erich Ryoichi Nakajo Y. Domae Tetsuya Ogata SSL 48 1 0 25 Oct 2024
Self-Improving Autonomous Underwater Manipulation Ruoshi Liu Huy Ha Mengxue Hou Shuran Song Carl Vondrick 39 1 0 24 Oct 2024
QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning Jumman Hossain A. Faridee Derrik E. Asher Jade Freeman Theron T. Trout T. Gregory Nirmalya Roy 36 0 0 22 Oct 2024
Learning autonomous driving from aerial imagery Varun Murali Guy Rosman S. Karaman Daniela Rus SSL 31 1 0 18 Oct 2024
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation Sung-Wook Lee Yen-Ling Kuo Yen-Ling Kuo 34 4 0 18 Oct 2024
Novelty-based Sample Reuse for Continuous Robotics Control Ke Duan Kai Yang Houde Liu Xueqian Wang 40 0 0 17 Oct 2024
The Ingredients for Robotic Diffusion Transformers Sudeep Dasari Oier Mees Sebastian Zhao Mohan Kumar Srirama Sergey Levine 59 20 0 14 Oct 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback Michelle Zhao Reid G. Simmons H. Admoni Aaditya Ramdas Andrea Bajcsy 54 4 0 11 Oct 2024
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing Mohammed Misbah Zarrar QiTao Weng Bakhbyergyen Yerjan Ahmet Soyyigit Heechul Yun 16 2 0 09 Oct 2024
Transfer Learning for a Class of Cascade Dynamical Systems Shima Rabiei Sandipan Mishra Santiago Paternain 28 0 0 09 Oct 2024
Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards Zhaohui Jiang Xuening Feng Paul Weng Yifei Zhu Yan Song Tianze Zhou Yujing Hu Tangjie Lv Changjie Fan 51 0 0 08 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 50 0 0 07 Oct 2024
Towards Cost Sensitive Decision Making Yang Li Junier Oliva OffRL 28 0 0 04 Oct 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis Amit K. Roy-Chowdhury OffRL 29 1 0 04 Oct 2024
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization The Viet Bui Thanh Hong Nguyen Tien Mai OffRL 38 0 0 02 Oct 2024
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives Siddharth Singh Tian Xu Qing Chang 21 0 0 01 Oct 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang Xinlei Chen Jialiang Zhao Kaiming He 41 34 0 30 Sep 2024
Feature Extractor or Decision Maker: Rethinking the Role of Visual Encoders in Visuomotor Policies Ruiyu Wang Zheyu Zhuang Shutong Jin Nils Ingelhag Danica Kragic Florian T. Pokorny 43 0 0 30 Sep 2024
Embodied Visuomotor Representation Levi Burner Cornelia Fermuller Yiannis Aloimonos 40 0 0 30 Sep 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 40 3 0 29 Sep 2024
iWalker: Imperative Visual Planning for Walking Humanoid Robot Xiao Lin Yuhao Huang Taimeng Fu Xiaobin Xiong Chen Wang 43 0 0 27 Sep 2024
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks Ahmed Shokry Walid Gomaa Tobias Zaenker Murad Dawood Shady A. Maged Mohammed I. Awad Maren Bennewitz Maren Bennewitz OffRL 46 0 0 24 Sep 2024
Representing Positional Information in Generative World Models for Object Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt Sai Rajeswar LM&Ro OCL 45 0 0 18 Sep 2024
Embodiment-Agnostic Action Planning via Object-Part Scene Flow Weiliang Tang Jia-Hui Pan Wei Zhan Jianshu Zhou Huaxiu Yao Yun-Hui Liu Masayoshi Tomizuka Mingyu Ding Chi-Wing Fu 63 0 0 16 Sep 2024
Precise Pick-and-Place using Score-Based Diffusion Networks Shih-Wei Guo Tsu-Ching Hsiao Yu-Lun Liu Chun-Yi Lee DiffM 44 1 0 15 Sep 2024
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation Yiwei Shi Muning Wen Qi Zhang Weinan Zhang Cunjia Liu Weiru Liu 48 2 0 14 Sep 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov Danda Pani Paudel Luc Van Gool 36 0 0 12 Sep 2024
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation Andrew Lee Ian Chuang Ling-Yuan Chen Iman Soltani 52 6 0 12 Sep 2024
Fitted Q-Iteration via Max-Plus-Linear Approximation Y. Liu Mohammad Amin Sharifi Kolarijani 48 0 0 12 Sep 2024
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments Haritheja Etukuru Norihito Naka Zijin Hu Seungjae Lee Julian Mehu Aaron Edsinger Chris Paxton Soumith Chintala Lerrel Pinto Nur Muhammad (Mahi) Shafiullah LM&Ro 44 23 0 09 Sep 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 44 3 0 05 Sep 2024
Semantically Controllable Augmentations for Generalizable Robot Learning Zoey Chen Zhao Mandi Homanga Bharadhwaj Mohit Sharma Shuran Song Abhishek Gupta Vikash Kumar LM&Ro 42 5 0 02 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 53 0 0 31 Aug 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 78 15 0 31 Aug 2024
In-Context Imitation Learning via Next-Token Prediction Letian Fu Huang Huang Gaurav Datta Lawrence Yunliang Chen William Chung-Ho Panitch Fangchen Liu Hui Li Ken Goldberg LM&Ro 37 16 0 28 Aug 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 51 2 0 22 Aug 2024
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning So Nakashima Tetsuya J. Kobayashi 31 1 0 18 Aug 2024
Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection Matthias Bartolo D. Seychell Josef Bajada 37 1 0 13 Aug 2024
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd D. Murphey Jorge Cortes Konstantinos Karydis AI4CE 38 7 0 08 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 36 0 0 01 Aug 2024