Imitating Latent Policies from Observation

21 May 2018

Papers citing "Imitating Latent Policies from Observation"

31 / 31 papers shown

Title
AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao Siyuan Zhou Yilun Du Jun Zhang Chuang Gan VGen 59 3 0 24 Mar 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Latent Action Pretraining from Videos Seonghyeon Ye Joel Jang Byeongguk Jeon Sejune Joo Jianwei Yang ... Kimin Lee J. Gao Luke Zettlemoyer Dieter Fox Minjoon Seo 35 27 0 15 Oct 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers Jianxin Bi Kelvin Lim Kaiqi Chen Yifei Huang Harold Soh 27 0 0 10 Oct 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui Hengkai Pan Aadhithya Iyer Siddhant Haldar Lerrel Pinto VGen 26 10 0 18 Sep 2024
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems Jianliang He Siyu Chen Fengzhuo Zhang Zhuoran Yang LM&Ro LLMAG 40 2 0 30 May 2024
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations E. C. Ozcan Vittorio Giammarino James Queeney I. Paschalidis OffRL 34 0 0 29 Feb 2024
Learning to Act without Actions Dominik Schmidt Minqi Jiang OffRL 26 30 0 17 Dec 2023
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 17 3 0 14 Oct 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 80 0 0 09 Sep 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 42 347 0 17 Jun 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 22 12 0 25 Apr 2022
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models J. Vázquez Alexander Liniger Wilko Schwarting Daniela Rus Luc Van Gool 21 45 0 05 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 16 116 0 25 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 40 11 0 01 Mar 2022
A Ranking Game for Imitation Learning Harshit S. Sikchi Akanksha Saran Wonjoon Goo S. Niekum OffRL 17 22 0 07 Feb 2022
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning Jinghuan Shang Michael S. Ryoo SSL 24 24 0 02 Aug 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
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang G. Kahn Sergey Levine 29 5 0 24 Jun 2021
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 20 20 0 18 Aug 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 17 3 0 18 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot M. Geist Olivier Pietquin 18 124 0 08 Jun 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 9 121 0 07 Apr 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 13 60 0 24 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 25 60 0 30 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 33 156 0 10 Dec 2019
Leveraging Human Guidance for Deep Reinforcement Learning Tasks Ruohan Zhang F. Torabi L. Guan D. Ballard Peter Stone 11 87 0 21 Sep 2019
Controlling Assistive Robots with Learned Latent Actions Dylan P. Losey K. Srinivasan Ajay Mandlekar Animesh Garg Dorsa Sadigh 18 69 0 20 Sep 2019
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration Brahma S. Pavse F. Torabi Josiah P. Hanna Garrett A. Warnell Peter Stone 11 33 0 18 Jun 2019
Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning Andrew Silva Matthew C. Gombolay OffRL 14 20 0 15 Feb 2019
Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations Sebastian Curi Kfir Y. Levy Andreas Krause 8 1 0 19 Jun 2018