Reward-free World Models for Online Imitation Learning

17 October 2024

Papers citing "Reward-free World Models for Online Imitation Learning"

36 / 36 papers shown

Title
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 108 0 0 04 May 2025
Efficient Imitation Learning with Conservative World Models Victor Kolev Rafael Rafailov Kyle Hatch Jiajun Wu Chelsea Finn OffRL 63 5 0 21 May 2024
Hybrid Inverse Reinforcement Learning Juntao Ren Gokul Swamy Zhiwei Steven Wu J. Andrew Bagnell Sanjiban Choudhury 62 20 0 13 Feb 2024
TD-MPC2: Scalable, Robust World Models for Continuous Control Nicklas Hansen Hao Su Xiaolong Wang MU 108 151 0 25 Oct 2023
A Coupled Flow Approach to Imitation Learning G. Freund Elad Sarafian Sarit Kraus OOD 50 12 0 29 Apr 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Cheng Chi Zhenjia Xu S. Feng Eric A. Cousineau Yilun Du Benjamin Burchfiel Russ Tedrake Shuran Song 347 1,189 0 07 Mar 2023
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning Firas Al-Hafez Davide Tateo Oleg Arenz Guoping Zhao Jan Peters 50 22 0 01 Mar 2023
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills Jiayuan Gu Fanbo Xiang Xuanlin Li Z. Ling Xiqiang Liu ... Xiao Yuan P. Xie Zhiao Huang Rui Chen Hao Su 96 186 0 09 Feb 2023
DITTO: Offline Imitation Learning with World Models Branton DeMoss Paul Duckworth Nick Hawes Ingmar Posner Ingmar Posner OffRL 64 18 0 06 Feb 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 70 601 0 10 Jan 2023
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors Yifeng Zhu Abhishek Joshi Peter Stone Yuke Zhu LM&Ro 65 130 0 20 Oct 2022
Planning for Sample Efficient Imitation Learning Zhao-Heng Yin Weirui Ye Qifeng Chen Yang Gao OffRL 68 21 0 18 Oct 2022
Model-Based Imitation Learning for Urban Driving Anthony Hu Gianluca Corrado Nicolas Griffiths Zak Murez Corina Gurau Hudson Yeo Alex Kendall R. Cipolla Jamie Shotton 148 140 0 14 Oct 2022
Discriminator-Guided Model-Based Offline Imitation Learning Wenjia Zhang Haoran Xu Haoyi Niu Peng Cheng Ming Li Heming Zhang Guyue Zhou Xianyuan Zhan OffRL 86 19 0 01 Jul 2022
MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control Vittorio Caggiano Huawei Wang G. Durandau Massimo Sartori Vikash Kumar 68 97 0 26 May 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation Maximilian Igl Daewoo Kim Alex Kuefler Paul Mougin Punit Shah K. Shiarlis Drago Anguelov Mark Palatucci Brandyn White Shimon Whiteson 81 67 0 06 May 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 88 243 0 09 Mar 2022
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 104 235 0 30 Oct 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 112 389 0 01 Sep 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 71 50 0 16 Jul 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 86 186 0 23 Jun 2021
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization Jinyun Zhou Rui Wang Xu Liu Yifei Jiang Shu Jiang J. Tao Jinghao Miao Shiyu Song 83 35 0 02 Mar 2021
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 169 84 0 18 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 105 856 0 05 Oct 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 91 413 0 22 Jun 2020
Imitation Learning via Off-Policy Distribution Matching Ilya Kostrikov Ofir Nachum Jonathan Tompson OOD OffRL 147 204 0 10 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 121 1,356 0 03 Dec 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,437 0 12 Nov 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 309 8,352 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 133 1,136 0 02 Jan 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 103 1,340 0 27 Feb 2017
Model-based Adversarial Imitation Learning Nir Baram Oron Anschel Shie Mannor GAN 44 43 0 07 Dec 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,115 0 10 Jun 2016
Model Predictive Path Integral Control using Covariance Variable Importance Sampling Grady Williams Andrew Aldrich Evangelos Theodorou 64 151 0 03 Sep 2015