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"

35 / 35 papers shown

Title
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 34 0 0 25 Apr 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 32 2 0 29 Sep 2024
Crowd-PrefRL: Preference-Based Reward Learning from Crowds David Chhan Ellen R. Novoseller Vernon J. Lawhern 27 5 0 17 Jan 2024
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions Xi Yang Ge Gao Min Chi OffRL 27 2 0 15 May 2023
Diverse Imitation Learning via Self-Organizing Generative Models Arash Vahabpour Tianyi Wang Qiujing Lu Omead Brandon Pooladzandi V. Roychowdhury SSL 18 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 23 15 0 04 May 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 19 7 0 10 Feb 2022
Sample Efficient Imitation Learning via Reward Function Trained in Advance Lihua Zhang 14 1 0 23 Nov 2021
Learning Multimodal Rewards from Rankings Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 24 48 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 26 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 9 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 73 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 35 270 0 16 Apr 2021
Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soren Pirk Karol Hausman Alexander Toshev Mohi Khansari 14 27 0 08 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 25 241 0 15 May 2020
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 10 47 0 29 Oct 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 22 355 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 14 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 29 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 11 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 14 26 0 28 Jan 2019
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 D. Fox 6 498 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 11 68 0 29 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 11 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 22 66 0 31 May 2018
Multi-task Maximum Entropy Inverse Reinforcement Learning Adam Gleave Oliver Habryka 16 39 0 22 May 2018
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee Sungjoon Choi Songhwai Oh OOD 13 19 0 22 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 21 137 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
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 19 24 0 13 Oct 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 14 60 0 25 Jul 2017
Robust Imitation of Diverse Behaviors Ziyun Wang J. Merel Scott E. Reed Greg Wayne Nando de Freitas N. Heess 23 194 0 10 Jul 2017