Implicit Behavioral Cloning

1 September 2021

Papers citing "Implicit Behavioral Cloning"

28 / 278 papers shown

Title
Training and Inference on Any-Order Autoregressive Models the Right Way Andy Shih Dorsa Sadigh Stefano Ermon BDL TPM OOD CML 27 23 0 26 May 2022
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning Jianxiong Li Xianyuan Zhan Haoran Xu Xiangyu Zhu Jingjing Liu Ya-Qin Zhang OffRL 17 24 0 23 May 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 17 29 0 22 May 2022
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations Negin Heravi Ayzaan Wahid Corey Lynch Peter R. Florence Travis Armstrong Jonathan Tompson P. Sermanet Jeannette Bohg Debidatta Dwibedi SSL 59 13 0 12 May 2022
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research Ryan Hoque K. Shivakumar Shrey Aeron Gabriel Deza Aditya Ganapathi Adrian S. Wong Johnny Lee Andy Zeng Vincent Vanhoucke Ken Goldberg 19 21 0 21 Apr 2022
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning? Aviral Kumar Joey Hong Anika Singh Sergey Levine OffRL 14 75 0 12 Apr 2022
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation Sridhar Pandian Arunachalam Sneha Silwal Ben Evans Lerrel Pinto 31 101 0 24 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs Sumeet Singh Francis McCann Ramirez Jacob Varley Andy Zeng Vikas Sindhwani 36 3 0 16 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play Suneel Belkhale Dorsa Sadigh OffRL 20 13 0 10 Mar 2022
Learning Solution Manifolds for Control Problems via Energy Minimization Miguel Zamora Roi Poranne Stelian Coros 11 2 0 07 Mar 2022
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning Aditya Ganapathi Peter R. Florence Jacob Varley Kaylee Burns Ken Goldberg Andy Zeng 20 16 0 03 Mar 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 109 85 0 24 Feb 2022
Transporters with Visual Foresight for Solving Unseen Rearrangement Tasks Hongtao Wu Jikai Ye Xin Meng Chris Paxton Gregory S. Chirikjian 60 17 0 22 Feb 2022
Ditto: Building Digital Twins of Articulated Objects from Interaction Zhenyu Jiang Cheng-Chun Hsu Yuke Zhu 9 102 0 16 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation Yuqing Du Daniel Ho Alexander A. Alemi Eric Jang Mohi Khansari SSL 16 9 0 15 Feb 2022
Imitation Learning by Estimating Expertise of Demonstrators M. Beliaev Andy Shih Stefano Ermon Dorsa Sadigh Ramtin Pedarsani 20 46 0 02 Feb 2022
STIR $^2$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks Jesús Bujalance Martín Fabien Moutarde OffRL 17 2 0 11 Jan 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions Bibit Bianchini Mathew Halm Nikolai Matni Michael Posa 17 11 0 13 Dec 2021
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input Jung-Su Ha Danny Driess Marc Toussaint 14 12 0 09 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 14 155 0 02 Dec 2021
Learning Proposals for Practical Energy-Based Regression L. Kumar Martin Danelljan Thomas B. Schon 30 4 0 22 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 16 23 0 19 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 14 25 0 11 May 2021
On the Sample Complexity of Stability Constrained Imitation Learning Stephen Tu Alexander Robey Tingnan Zhang Nikolai Matni 41 38 0 18 Feb 2021
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation Albert Zhan Philip Zhao Lerrel Pinto Pieter Abbeel Michael Laskin SSL DRL 11 20 0 14 Dec 2020
How to Train Your Energy-Based Model for Regression Fredrik K. Gustafsson Martin Danelljan Radu Timofte Thomas B. Schon 35 42 0 04 May 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 153 495 0 08 Apr 2018