An Algorithmic Perspective on Imitation Learning

16 November 2018

Pieter Abbeel

Jan Peters

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Papers citing "An Algorithmic Perspective on Imitation Learning"

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ACORN: Adaptive Contrastive Optimization for Safe and Robust Fine-Grained Robotic Manipulation Zhongquan Zhou Shuhao Li Zixian Yue 28 0 0 10 May 2025
LLM-based Interactive Imitation Learning for Robotic Manipulation Jonas Werner Kun-Mo Chu C. Weber S. Wermter 86 0 0 30 Apr 2025
CIVIL: Causal and Intuitive Visual Imitation Learning Yinlong Dai Robert Ramirez Sanchez Ryan Jeronimus Shahabedin Sagheb Cara M. Nunez Heramb Nemlekar Dylan P. Losey 74 1 0 24 Apr 2025
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation Tan Shu Li Shen 46 0 0 04 Apr 2025
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Taiyi Wang Zhihao Wu Jianheng Liu Jianye Hao J. Wang Kun Shao OffRL 36 13 0 24 Feb 2025
On the Effective Horizon of Inverse Reinforcement Learning Yiqing Xu Finale Doshi-Velez David Hsu 46 0 0 21 Feb 2025
X-IL: Exploring the Design Space of Imitation Learning Policies Xiaogang Jia Atalay Donat Xi Huang Xuan Zhao Denis Blessing ... Han A. Wang Hanyi Zhang Qian Wang Rudolf Lioutikov Gerhard Neumann 88 1 0 20 Feb 2025
FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control Yutong Ye Yingbo Zhou Zhusen Liu Xiao Du Hao Zhou Xiang Lian Mingsong Chen 65 0 0 17 Feb 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification Jordan Thompson Ronald Koe Anthony Le Gabriella Goodman Daniel S. Brown Alan Kuntz 47 1 0 17 Jan 2025
Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration Maram Sakr H. F. M. V. D. Loos Dana Kulić Elizabeth A. Croft 78 0 0 18 Dec 2024
Inference-Time Policy Steering through Human Interactions Yanwei Wang Lirui Wang Yilun Du Balakumar Sundaralingam Xuning Yang Yu-Wei Chao Claudia Pérez-DÁrpino Dieter Fox Julie Shah VGen 104 4 0 25 Nov 2024
Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning George Jiayuan Gao Tianyu Li Nadia Figueroa 38 0 0 05 Nov 2024
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 42 3 0 17 Oct 2024
Incremental Learning for Robot Shared Autonomy Yiran Tao Guixiu Qiao Dan Ding Zackory Erickson CLL 35 0 0 08 Oct 2024
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 29 1 0 20 Sep 2024
RECON: Reducing Causal Confusion with Human-Placed Markers Robert Ramirez Sanchez Heramb Nemlekar Shahabedin Sagheb Cara M. Nunez Dylan P. Losey CML 46 1 0 20 Sep 2024
Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning Lei Shi Qichao Liu Cheng Zhou Wentao Gao Haotian Wu Yu Zheng Xiong Li 23 0 0 16 Sep 2024
Achieving Human Level Competitive Robot Table Tennis David B. DÁmbrosio Saminda Abeyruwan L. Graesser Atil Iscen H. B. Amor ... Vikas Sindhwani Vincent Vanhoucke Grace Vesom P. Xu Pannag R. Sanketi 95 14 0 07 Aug 2024
Imitation Learning with Additional Constraints on Motion Style using Parametric Bias Kento Kawaharazuka Yoichiro Kawamura K. Okada Masayuki Inaba 40 12 0 10 Jul 2024
SLOPE: Search with Learned Optimal Pruning-based Expansion Davor Bokan Zlatan Ajanović B. Lacevic 19 1 0 07 Jun 2024
Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels Abhay Deshpande Liyiming Ke Quinn Pfeifer Abhishek Gupta S. Srinivasa 47 1 0 29 May 2024
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai Hsiang-Chun Wang Ping-Chun Hsieh Yu-Chiang Frank Wang Min-Hung Chen Shao-Hua Sun 34 8 0 25 May 2024
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z. Leibo GNN 31 28 0 22 May 2024
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning Ying Ma Owen Burns Mingqiu Wang Gang Li Nan Du Laurent El Shafey Liqiang Wang Izhak Shafran H. Soltau SSL ReLM OffRL LRM 43 0 0 22 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
A survey of air combat behavior modeling using machine learning Patrick Ribu Gorton Andreas Strand K. Brathen AI4CE 32 8 0 22 Apr 2024
GeoSACS: Geometric Shared Autonomy via Canal Surfaces Shalutha Rajapakshe Atharva Dastenavar Michael Hagenow J. Odobez Emmanuel Senft 23 2 0 15 Apr 2024
DIDA: Denoised Imitation Learning based on Domain Adaptation Kaichen Huang Hai-Hang Sun Shenghua Wan Minghao Shao Shuai Feng Le Gan De-Chuan Zhan 32 1 0 04 Apr 2024
Whole-body Humanoid Robot Locomotion with Human Reference Qiang Zhang Peter Cui David Yan Jingkai Sun Yiqun Duan Arthur Zhang Renjing Xu 39 30 0 28 Feb 2024
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning Koshi Oishi Yota Hashizume Tomohiko Jimbo Hirotaka Kaji Kenji Kashima OOD 40 2 0 28 Feb 2024
General-purpose foundation models for increased autonomy in robot-assisted surgery Samuel Schmidgall Ji Woong Kim Alan Kuntz A. Ghazi Axel Krieger MedIm 46 9 0 01 Jan 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 31 0 0 28 Dec 2023
RLIF: Interactive Imitation Learning as Reinforcement Learning Jianlan Luo Perry Dong Yuexiang Zhai Yi-An Ma Sergey Levine OffRL 25 14 0 21 Nov 2023
Learning Reward for Physical Skills using Large Language Model Yuwei Zeng Yiqing Xu 28 6 0 21 Oct 2023
A Structured Prediction Approach for Robot Imitation Learning Anqing Duan Iason Batzianoulis Raffaello Camoriano Lorenzo Rosasco Daniele Pucci A. Billard 21 4 0 26 Sep 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 42 6 0 21 Sep 2023
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning Kallol Saha V. Mandadi Jayaram Reddy Ajit Srikanth Aditya Agarwal Bipasha Sen Arun Singh Madhava Krishna DiffM 21 25 0 20 Sep 2023
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu Aaron Rovinsky Jianlan Luo Vikash Kumar Abhishek Gupta Sergey Levine OffRL 22 9 0 06 Sep 2023
A Flexible Framework for Incorporating Patient Preferences Into Q-Learning Joshua P. Zitovsky Leslie Wilson Michael R. Kosorok 18 1 0 22 Jul 2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning Alireza Shamsoshoara Fatemeh Lotfi Sajad Mousavi Fatemeh Afghah Ismail Güvenç 31 10 0 15 Jun 2023
Coherent Soft Imitation Learning Joe Watson Sandy H. Huang Nicholas Heess 32 11 0 25 May 2023
Utility-Probability Duality of Neural Networks Bojun Huang Fei Yuan UQCV 27 1 0 24 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 28 39 0 22 May 2023
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows Jia Yu Tee Oliver De Candido Wolfgang Utschick Philipp Geiger 27 0 0 22 May 2023
Accelerating genetic optimization of nonlinear model predictive control by learning optimal search space size Eslamian Mostafa H. A. Aly A. Elliethy 17 0 0 14 May 2023
Get Back Here: Robust Imitation by Return-to-Distribution Planning Geoffrey Cideron B. Tabanpour Sebastian Curi Sertan Girgin Léonard Hussenot Gabriel Dulac-Arnold M. Geist Olivier Pietquin Robert Dadashi OOD 84 2 0 02 May 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 21 13 0 25 Apr 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 31 20 0 25 Apr 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies Moritz Reuss M. Li Xiaogang Jia Rudolf Lioutikov DiffM 34 156 0 05 Apr 2023
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation Andrea Ghezzi Jasper Hoffmann Jonathan Frey Joschka Boedecker Moritz Diehl 30 4 0 03 Apr 2023