Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

30 May 2017

Papers citing "Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets"

42 / 42 papers shown

Title
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 38 0 0 25 Apr 2025
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations Sangwon Seo Vaibhav Unhelkar 62 1 0 24 Feb 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games Shiqi Lei Kanghon Lee Linjing Li Jinkyoo Park OffRL 42 0 0 17 Feb 2025
FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation Litao Liu Wentao Wang Yifan Han Zhuoli Xie Pengfei Yi Junyan Li Yi Qin Wenzhao Lian 37 2 0 29 Sep 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds David Chhan Ellen R. Novoseller Vernon J. Lawhern 34 5 0 17 Jan 2024
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 29 2 0 15 May 2023
Dual Generator Offline Reinforcement Learning Q. Vuong Aviral Kumar Sergey Levine Yevgen Chebotar OffRL 31 1 0 02 Nov 2022
Diverse Imitation Learning via Self-Organizing Generative Models Arash Vahabpour Tianyi Wang Qiujing Lu Omead Brandon Pooladzandi V. Roychowdhury SSL 26 1 0 06 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 27 7 0 10 Feb 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 26 4 0 16 Dec 2021
Sample Efficient Imitation Learning via Reward Function Trained in Advance Lihua Zhang 22 1 0 23 Nov 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 32 49 0 27 Sep 2021
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving Gunmin Lee Wooseok Oh Seungyoung Shin Dohyeong Kim Jeongwoo Oh Jaeyeon Jeong Sungjoon Choi Songhwai Oh SSL 33 2 0 23 Sep 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
Deep Adaptive Multi-Intention Inverse Reinforcement Learning Ariyan Bighashdel Panagiotis Meletis P. Jancura Gijs Dubbelman 17 7 0 14 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 78 28 0 13 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 48 143 0 08 Feb 2021
Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soren Pirk Karol Hausman Alexander Toshev Mohi Khansari 22 27 0 08 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 33 243 0 15 May 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu ... Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang J. Peng OffRL 11 12 0 19 Feb 2020
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 18 47 0 29 Oct 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model Akira Kinose T. Taniguchi 30 20 0 03 Jul 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 42 24 0 11 Apr 2019
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors Fang-I Hsiao Jui-Hsuan Kuo Min Sun OffRL 16 14 0 25 Mar 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 13 68 0 25 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 8 498 0 12 Oct 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris M. Kitani 21 68 0 29 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 17 37 0 10 Sep 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 30 39 0 22 May 2018
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee Sungjoon Choi Songhwai Oh OOD 21 19 0 22 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 34 137 0 21 May 2018
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations Jonathan Lee Michael Laskey Roy Fox Ken Goldberg 13 4 0 31 Jan 2018
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process Haosheng Zou Hang Su Shihong Song Jun Zhu 27 48 0 25 Jan 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S. Krishnan Roy Fox Ion Stoica Ken Goldberg 16 81 0 15 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning Alex Kuefler Mykel J. Kochenderfer 23 24 0 13 Oct 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
Robust Imitation of Diverse Behaviors Ziyun Wang J. Merel Scott E. Reed Greg Wayne Nando de Freitas N. Heess 31 195 0 10 Jul 2017