Implicit Behavioral Cloning

1 September 2021

Papers citing "Implicit Behavioral Cloning"

50 / 278 papers shown

Title
Phase-Amplitude Reduction-Based Imitation Learning Satoshi Yamamori Jun Morimoto 16 0 0 06 Jun 2024
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning Tianyu Chen Zhendong Wang Mingyuan Zhou OffRL 24 4 0 30 May 2024
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion Zhitian Zhang Anjian Li Angelica Lim Mo Chen 28 3 0 29 May 2024
Tilde: Teleoperation for Dexterous In-Hand Manipulation Learning with a DeltaHand Zilin Si Kevin Zhang F. Z. Temel Oliver Kroemer 43 8 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 32 8 0 25 May 2024
How to Leverage Diverse Demonstrations in Offline Imitation Learning Sheng Yue Jiani Liu Xingyuan Hua Ju Ren Sen Lin Junshan Zhang Yaoxue Zhang OffRL 32 2 0 24 May 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu Xinghong Guo Zifeng Zhuang Donglin Wang DiffM OffRL 37 2 0 23 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 37 0 0 22 May 2024
Self-Supervised Learning of Visual Servoing for Low-Rigidity Robots Considering Temporal Body Changes Kento Kawaharazuka Naoaki Kanazawa K. Okada Masayuki Inaba 25 4 0 20 May 2024
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills Tianhao Wei Liqian Ma Rui Chen Weiye Zhao Changliu Liu 37 2 0 18 May 2024
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation Aaditya Prasad Kevin Qinghong Lin Jimmy Wu Linqi Zhou Jeannette Bohg 26 50 0 13 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 29 9 0 08 May 2024
Learning Distributional Demonstration Spaces for Task-Specific Cross-Pose Estimation Jenny Wang Octavian A. Donca David Held 29 1 0 07 May 2024
Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning Teng Xue Amirreza Razmjoo Suhan Shetty Sylvain Calinon 14 4 0 07 May 2024
Towards Improving Learning from Demonstration Algorithms via MCMC Methods Carl Qi Edward Sun Harry Zhang OffRL 27 0 0 03 May 2024
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation Baotian He Yibing Li 34 0 0 29 Apr 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning Padmanaba Srinivasan William J. Knottenbelt OffRL 22 1 0 25 Apr 2024
Optimal Design for Human Feedback Subhojyoti Mukherjee Anusha Lalitha Kousha Kalantari Aniket Deshmukh Ge Liu Yifei Ma B. Kveton 31 0 0 22 Apr 2024
Diff-Control: A Stateful Diffusion-based Policy for Imitation Learning Xiao Liu Yifan Zhou F. Weigend Shubham D. Sonawani Shuhei Ikemoto H. B. Amor 29 1 0 18 Apr 2024
Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models Weiming Zhi Haozhan Tang Tianyi Zhang Matthew Johnson-Roberson 21 1 0 17 Apr 2024
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting Albert Wu Ruocheng Wang Sirui Chen Clemens Eppner C. Karen Liu 35 3 0 11 Apr 2024
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining Henrik Hose Alexander Gräfe Sebastian Trimpe 19 3 0 08 Apr 2024
Policy Bifurcation in Safe Reinforcement Learning Wenjun Zou Yao Lyu Jie Li Yujie Yang Shengbo Eben Li Jingliang Duan Xianyuan Zhan Jingjing Liu Yaqin Zhang Keqiang Li 35 1 0 19 Mar 2024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts Onur Celik Aleksandar Taranovic Gerhard Neumann 26 7 0 11 Mar 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations Yanjie Ze Gu Zhang Kangning Zhang Chenyuan Hu Muhan Wang Huazhe Xu VGen 37 76 0 06 Mar 2024
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation M. Torné Anthony Simeonov Zechu Li April Chan Tao Chen Abhishek Gupta Pulkit Agrawal 42 56 0 06 Mar 2024
Behavior Generation with Latent Actions Seungjae Lee Yibin Wang Haritheja Etukuru H. J. Kim Mahi Shafiullah Lerrel Pinto VGen OffRL 27 64 0 05 Mar 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence Amanda Olmin Jakob Lindqvist Lennart Svensson Fredrik Lindsten 19 0 0 26 Feb 2024
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion Kaiqi Chen Eugene Lim Kelvin Lin Yiyang Chen Harold Soh DiffM 27 10 0 25 Feb 2024
Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios H. Kasaei M. Kasaei 32 1 0 25 Feb 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations Xiaogang Jia Denis Blessing Xinkai Jiang Moritz Reuss Atalay Donat Rudolf Lioutikov Gerhard Neumann 34 20 0 22 Feb 2024
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Tsung-Wei Ke N. Gkanatsios Katerina Fragkiadaki VGen 34 107 0 16 Feb 2024
Towards Tight Convex Relaxations for Contact-Rich Manipulation B. P. Graesdal S. Y. C. Chia Tobia Marcucci Savva Morozov Alexandre Amice P. Parrilo Russ Tedrake 45 21 0 15 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 26 4 0 08 Feb 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies Xixi Hu Bo Liu Xingchao Liu Qiang Liu 31 11 0 06 Feb 2024
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization Zhengtong Xu Yu She 27 2 0 30 Jan 2024
AiRLIHockey: Highly Reactive Contact Control and Stochastic Optimal Shooting Julius Jankowski Ante Marić Sylvain Calinon 27 3 0 26 Jan 2024
6-DoF Grasp Pose Evaluation and Optimization via Transfer Learning from NeRFs Gergely Sóti Xi Huang C. Wurll Björn Hein 12 2 0 15 Jan 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 21 1 0 09 Jan 2024
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation Zipeng Fu Tony Zhao Chelsea Finn 100 287 0 04 Jan 2024
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward Fangyuan Wang Anqing Duan Peng Zhou Shengzeng Huo Guodong Guo Chenguang Yang D. Navarro-Alarcon OffRL VLM 28 0 0 25 Dec 2023
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects Paul Maria Scheikl Nicolas Schreiber Christoph Haas Niklas Freymuth Gerhard Neumann Rudolf Lioutikov F. Mathis-Ullrich 13 35 0 15 Dec 2023
Working Backwards: Learning to Place by Picking Oliver Limoyo Abhisek Konar Trevor Ablett Jonathan Kelly F. Hogan Gregory Dudek 16 0 0 04 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 15 6 0 04 Dec 2023
Generalizable Imitation Learning Through Pre-Trained Representations Wei-Di Chang F. Hogan D. Meger Gregory Dudek Gregory Dudek 33 1 0 15 Nov 2023
SceneScore: Learning a Cost Function for Object Arrangement Ivan Kapelyukh Edward Johns OffRL DiffM OCL 24 4 0 14 Nov 2023
Constrained-Context Conditional Diffusion Models for Imitation Learning Vaibhav Saxena Yotto Koga Danfei Xu 28 3 0 02 Nov 2023
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation Amin Abyaneh Hsiu-Chin Lin 13 5 0 31 Oct 2023
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning Sachit Kuhar Shuo Cheng Shivang Chopra Matthew Bronars Danfei Xu 35 8 0 22 Oct 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States Zidan Wang Takeru Oba Takuma Yoneda Rui Shen Matthew R. Walter Bradly C. Stadie DiffM 25 9 0 21 Oct 2023