End-to-End Training of Deep Visuomotor Policies

2 April 2015

Pieter Abbeel

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

50 / 919 papers shown

Title
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains Yasin Findik Paul Robinette Kshitij Jerath Reza Azadeh 36 1 0 27 Jul 2024
HRP: Human Affordances for Robotic Pre-Training Mohan Kumar Srirama Sudeep Dasari Shikhar Bahl Abhinav Gupta 46 15 0 26 Jul 2024
Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare Reza Abiri Ali Rabiee Sima Ghafoori Anna Cetera 16 1 0 24 Jul 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control Atharva Mete Haotian Xue Albert Wilcox Yongxin Chen Animesh Garg SSL 40 17 0 22 Jul 2024
Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints Shiqing Gao Jiaxin Ding Luoyi Fu Xinbing Wang Cheng Zhou 29 0 0 22 Jul 2024
Generative Image as Action Models Mohit Shridhar Yat Long Lo Stephen James 47 9 0 10 Jul 2024
Predicting 3D Rigid Body Dynamics with Deep Residual Network Abiodun Finbarrs Oketunji PINN AI4CE 45 0 0 09 Jul 2024
ROER: Regularized Optimal Experience Replay Changling Li Zhang-Wei Hong Pulkit Agrawal Divyansh Garg Joni Pajarinen OffRL 52 1 0 04 Jul 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing Bo Ai Stephen Tian Haochen Shi Yixuan Wang Cheston Tan Yunzhu Li Jiajun Wu 54 12 0 01 Jul 2024
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 37 1 0 30 Jun 2024
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation Hongyi Chen Abulikemu Abuduweili Aviral Agrawal Yunhai Han Harish Ravichandar Changliu Liu Jeffrey Ichnowski 54 5 0 29 Jun 2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning Gautham Vasan Yan Wang Fahim Shahriar James Bergstra Martin Jägersand A. R. Mahmood 35 11 0 29 Jun 2024
Variable Time Step Reinforcement Learning for Robotic Applications Dong Wang Giovanni Beltrame 39 0 0 29 Jun 2024
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators Kuo-Hao Zeng Zichen Zhang Kiana Ehsani Rose Hendrix Jordi Salvador Alvaro Herrasti Ross Girshick Aniruddha Kembhavi Luca Weihs LM&Ro OffRL 45 18 0 28 Jun 2024
From Pixels to Torques with Linear Feedback Jeong Hun Lee Sam Schoedel Aditya Bhardwaj Zachary Manchester 39 0 0 26 Jun 2024
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies Yu-Juan Luo Fuchun Sun Tianying Ji Xianyuan Zhan 32 0 0 26 Jun 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation Junkai Zhang Weitong Zhang Dongruo Zhou Q. Gu 57 3 0 24 Jun 2024
IRASim: Learning Interactive Real-Robot Action Simulators Fangqi Zhu Hongtao Wu Song Guo Yuxiao Liu Chilam Cheang Tao Kong 80 15 0 20 Jun 2024
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning Wei Xiao Tsun-Hsuan Wang Daniela Rus OffRL 51 1 0 18 Jun 2024
Demonstrating Agile Flight from Pixels without State Estimation Ismail Geles L. Bauersfeld Angel Romero Jiaxu Xing Davide Scaramuzza 54 23 0 18 Jun 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control Dongyoon Hwang ByungKun Lee Hojoon Lee Hyunseung Kim Jaegul Choo 55 0 0 10 Jun 2024
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 47 1 0 09 Jun 2024
Inductive Generalization in Reinforcement Learning from Specifications Vignesh Subramanian Rohit Kushwah Subhajit Roy Suguman Bansal OffRL 41 0 0 05 Jun 2024
Task and Motion Planning for Execution in the Real Tianyang Pan Rahul Shome Lydia E. Kavraki 63 2 0 05 Jun 2024
Identifying latent state transition in non-linear dynamical systems Çağlar Hızlı Çağatay Yıldız Matthias Bethge ST John Pekka Marttinen OOD 27 0 0 05 Jun 2024
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations A. M. Ali Aryaman Gupta Hashim A. Hashim OffRL 44 7 0 02 Jun 2024
Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand Zilin Si Kevin Zhang F. Z. Temel Oliver Kroemer 56 8 0 29 May 2024
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning Abdulaziz Almuzairee Nicklas Hansen Henrik I. Christensen 48 7 0 27 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning Michael Kölle Timo Witter Tobias Rohe Gerhard Stenzel Philipp Altmann Thomas Gabor 28 2 0 20 May 2024
Octo: An Open-Source Generalist Robot Policy Octo Model Team Dibya Ghosh Homer Walke Karl Pertsch Kevin Black ... Quan Vuong Ted Xiao Dorsa Sadigh Chelsea Finn Sergey Levine 90 370 0 20 May 2024
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space Qian Liu Yufei Kuang Jie Wang AAML 27 2 0 20 May 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses Thanh Nguyen Tung M. Luu Tri Ton Chang D. Yoo OffRL AAML 39 0 0 18 May 2024
Deep Learning in Earthquake Engineering: A Comprehensive Review Yazhou Xie AI4CE 35 5 0 15 May 2024
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation Joseph A. Vincent Haruki Nishimura Masha Itkina Paarth Shah Mac Schwager Thomas Kollar OffRL 42 9 0 08 May 2024
From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control Yide Shentu Philipp Wu Aravind Rajeswaran Pieter Abbeel 40 9 0 08 May 2024
Information-driven Affordance Discovery for Efficient Robotic Manipulation Pietro Mazzaglia Taco Cohen Daniel Dijkman 40 2 0 06 May 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning Tianchen Zhou Fnu Hairi Haibo Yang Jia-Wei Liu Tian Tong Fan Yang Michinari Momma Yan Gao 45 1 0 05 May 2024
Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline Wenjia Meng Qian Zheng Long Yang Yilong Yin Gang Pan OffRL 34 0 0 04 May 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos Parameswaran Kamalaruban Adish Singla 34 4 0 03 May 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 46 4 0 02 May 2024
Point Cloud Models Improve Visual Robustness in Robotic Learners Skand Peri Iain Lee Chanho Kim Fuxin Li Tucker Hermans Stefan Lee 3DPC 56 3 0 29 Apr 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control Jasper Hoffmann Diego Fernandez Clausen Julien Brosseit Julian Bernhard Klemens Esterle M. Werling Michael Karg Joschka Boedecker 39 1 0 29 Apr 2024
Rank2Reward: Learning Shaped Reward Functions from Passive Video Daniel Yang Davin Tjia Jacob Berg Dima Damen Pulkit Agrawal Abhishek Gupta OffRL 40 5 0 23 Apr 2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh Wesley A Suttle Brian M Sadler Vinay P. Namboodiri Amrit Singh Bedi 36 4 0 20 Apr 2024
Efficient Duple Perturbation Robustness in Low-rank MDPs Yang Hu Haitong Ma Bo Dai Na Li 28 0 0 11 Apr 2024
Unsupervised Learning of Effective Actions in Robotics Marko Zaric Jakob J. Hollenstein J. Piater Erwan Renaudo 16 0 0 03 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 45 11 0 01 Apr 2024
Federated reinforcement learning for robot motion planning with zero-shot generalization Zhenyuan Yuan Siyuan Xu Minghui Zhu FedML 40 1 0 20 Mar 2024
Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight Jiaxu Xing Angel Romero L. Bauersfeld Davide Scaramuzza 53 14 0 18 Mar 2024