Diffusion-Reward Adversarial Imitation Learning

25 May 2024

Papers citing "Diffusion-Reward Adversarial Imitation Learning"

24 / 24 papers shown

Title
Diffusion Imitation from Observation Bo-Ruei Huang Chun-Kai Yang Chun-Mao Lai Dai-Jie Wu Shao-Hua Sun 86 4 0 07 Oct 2024
RILe: Reinforced Imitation Learning Mert Albaba Sammy Christen Christoph Gebhardt Thomas Langarek Otmar Hilliges Otmar Hilliges 108 1 0 12 Jun 2024
A Coupled Flow Approach to Imitation Learning G. Freund Elad Sarafian Sarit Kraus OOD 59 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 349 1,231 0 07 Mar 2023
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 198 1,138 0 01 Jul 2021
IQ-Learn: Inverse soft-Q Learning for Imitation Divyansh Garg Shuvam Chakraborty Chris Cundy Jiaming Song Matthieu Geist Stefano Ermon 89 189 0 23 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 97 77 0 01 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,716 0 18 Feb 2021
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 292 7,469 0 06 Oct 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 74 129 0 08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 229 1,381 0 15 Apr 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 356 1,689 0 02 Feb 2020
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 116 420 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 90 847 0 16 Nov 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 95 260 0 09 Sep 2018
Generative Adversarial Imitation from Observation F. Torabi Garrett A. Warnell Peter Stone GAN 86 245 0 17 Jul 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 132 1,963 0 19 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,365 0 12 Jun 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,119 0 10 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 298 4,812 0 04 Jan 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,031 0 12 Mar 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 254 3,238 0 02 Nov 2010