Goal-conditioned Imitation Learning

13 June 2019

Pieter Abbeel

Papers citing "Goal-conditioned Imitation Learning"

50 / 155 papers shown

Title
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 16 5 0 15 Apr 2022
Goal-conditioned dual-action imitation learning for dexterous dual-arm robot manipulation Heecheol Kim Y. Ohmura Y. Kuniyoshi 27 27 0 18 Mar 2022
PLATO: Predicting Latent Affordances Through Object-Centric Play Suneel Belkhale Dorsa Sadigh OffRL 22 13 0 10 Mar 2022
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives João Carvalho Dorothea Koert Marek Daniv Jan Peters 29 8 0 08 Mar 2022
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL Rui Yang Yiming Lu Wenzhe Li Hao Sun Meng Fang Yali Du Xiu Li Lei Han Chongjie Zhang OffRL 46 66 0 09 Feb 2022
Imitation Learning by Estimating Expertise of Demonstrators M. Beliaev Andy Shih Stefano Ermon Dorsa Sadigh Ramtin Pedarsani 43 48 0 02 Feb 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 31 170 0 20 Dec 2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation Todor Davchev Oleg O. Sushkov Jean-Baptiste Regli S. Schaal Y. Aytar Markus Wulfmeier Jonathan Scholz 16 18 0 01 Dec 2021
Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments Nitish Dashora Daniel Shin Dhruv Shah Henry A. Leopold David D. Fan Ali Agha-Mohammadi Nicholas Rhinehart Sergey Levine OffRL 20 15 0 22 Nov 2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Tung M. Luu Chang D. Yoo 15 8 0 28 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 37 16 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 33 23 0 19 Oct 2021
ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles Cosmin Ginerica Mihai V. Zaha Florin Gogianu L. Buşoniu Bogdan Trasnea Sorin Grigorescu 24 9 0 19 Jul 2021
Adaptable Agent Populations via a Generative Model of Policies Kenneth Derek Phillip Isola 62 16 0 15 Jul 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation Pierre Marza L. Matignon Olivier Simonin Christian Wolf 42 23 0 13 Jul 2021
MHER: Model-based Hindsight Experience Replay Rui Yang Meng Fang Lei Han Yali Du Feng Luo Xiu Li OffRL 18 17 0 01 Jul 2021
Imitation Learning: Progress, Taxonomies and Challenges Boyuan Zheng Sunny Verma Jianlong Zhou Ivor Tsang Fang Chen 25 85 0 23 Jun 2021
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning Aaron J. Snoswell Surya P. N. Singh N. Ye 20 4 0 03 Jun 2021
Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar Mauricio Tec S. Niekum Peter Stone OOD 35 37 0 27 May 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 32 146 0 15 Apr 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 26 70 0 12 Apr 2021
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE HaoChih Lin Baopu Li Xin Zhou Jiankun Wang Max Q.-H. Meng 24 6 0 03 Apr 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 28 19 0 13 Mar 2021
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning Yan Wang C. C. Beltran-Hernandez Weiwei Wan Kensuke Harada 29 20 0 10 Mar 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 29 85 0 17 Dec 2020
ViNG: Learning Open-World Navigation with Visual Goals Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 25 89 0 17 Dec 2020
Episodic Self-Imitation Learning with Hindsight Tianhong Dai Hengyan Liu Anil Anthony Bharath 15 11 0 26 Nov 2020
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers Guangming Wang Minjian Xin Wenhua Wu Zhe Liu Hesheng Wang OffRL 8 18 0 24 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 38 68 0 17 Nov 2020
Transformers for One-Shot Visual Imitation Sudeep Dasari Abhinav Gupta LM&Ro 29 90 0 11 Nov 2020
Language-Conditioned Imitation Learning for Robot Manipulation Tasks Simon Stepputtis Joseph Campbell Mariano Phielipp Stefan Lee Chitta Baral H. B. Amor LM&Ro 124 193 0 22 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 18 44 0 02 Oct 2020
Addressing reward bias in Adversarial Imitation Learning with neutral reward functions Rohit Jena Siddharth Agrawal Katia P. Sycara GAN 12 6 0 20 Sep 2020
Learning Models of Individual Behavior in Chess Reid McIlroy-Young Russell Wang S. Sen Jon M. Kleinberg Ashton Anderson 31 12 0 23 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals Li Zhou Kevin Small 36 37 0 16 Aug 2020
On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms Dongjae Kim J. Lee J. Shin M. Yang Sang Wan Lee OffRL 9 2 0 09 Jul 2020
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles Travis Manderson J. A. G. Higuera Stefan Wapnick J. Tremblay Florian Shkurti D. Meger Gregory Dudek 19 50 0 29 Jun 2020
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization Paul Barde Julien Roy Wonseok Jeon Joelle Pineau C. Pal Derek Nowrouzezahrai 14 27 0 23 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 17 71 0 23 Jun 2020
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 21 16 0 13 Jun 2020
Learning to Play by Imitating Humans R. Dinyari P. Sermanet Corey Lynch SSL OffRL 14 5 0 11 Jun 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 15 60 0 21 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 243 0 15 May 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion Aditi Mavalankar OffRL 27 7 0 17 Apr 2020
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives Oliver Groth Chia-Man Hung Andrea Vedaldi Ingmar Posner OCL 14 10 0 19 Mar 2020
How Do We Move: Modeling Human Movement with System Dynamics Hua Wei Dongkuan Xu Z. Li Zhenhui Li 9 1 0 01 Mar 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 21 69 0 26 Feb 2020
Soft Hindsight Experience Replay Qiwei He Liansheng Zhuang Houqiang Li 16 9 0 06 Feb 2020
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 24 34 0 12 Dec 2019