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Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration

11 November 2024

Papers citing "Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration"

35 / 35 papers shown

Title
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory Tianjiao Luo Tim Pearce Huayu Chen Jianfei Chen Jun Zhu 97 2 0 26 Feb 2024
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges Maryam Zare P. Kebria Abbas Khosravi Saeid Nahavandi 69 95 0 05 Sep 2023
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning Sumeet Batra Bryon Tjanaka Matthew C. Fontaine Aleksei Petrenko Stefanos Nikolaidis Gaurav Sukhatme OffRL 76 17 0 23 May 2023
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 63 40 0 11 Oct 2022
Covariance Matrix Adaptation MAP-Annealing Matthew C. Fontaine Stefanos Nikolaidis 88 28 0 22 May 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 68 54 0 08 Feb 2022
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 108 375 0 24 Jun 2021
Differentiable Quality Diversity Matthew C. Fontaine Stefanos Nikolaidis 85 91 0 07 Jun 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 70 123 0 18 Feb 2021
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 107 95 0 08 Dec 2020
Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu Yueming Lyu Ivor W. Tsang 43 54 0 26 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 69 129 0 08 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 425 10,591 0 17 Feb 2020
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis Amy K. Hoover 88 138 0 05 Dec 2019
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 69 704 0 13 Aug 2018
Count-Based Exploration with the Successor Representation Marlos C. Machado Marc G. Bellemare Michael Bowling 46 187 0 31 Jul 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 94 320 0 26 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 81 1,465 0 13 Jan 2018
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 122 1,057 0 05 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 129 756 0 30 Oct 2017
On the regularization of Wasserstein GANs Henning Petzka Asja Fischer Denis Lukovnikov GAN 44 211 0 26 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 52 445 0 25 May 2017
From optimal transport to generative modeling: the VEGAN cookbook Olivier Bousquet Sylvain Gelly Ilya O. Tolstikhin Carl-Johann Simon-Gabriel B. Schoelkopf OT 93 147 0 22 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,439 0 15 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 59 349 0 23 Jan 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 94 773 0 15 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 154 3,115 0 10 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 100 4,170 0 25 Apr 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 949 0 01 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 80 406 0 17 Jul 2015
Illuminating search spaces by mapping elites Jean-Baptiste Mouret Jeff Clune 76 735 0 20 Apr 2015
Learning Monocular Reactive UAV Control in Cluttered Natural Environments Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell M. Hebert 117 438 0 07 Nov 2012
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 231 3,221 0 02 Nov 2010