f-IRL: Inverse Reinforcement Learning via State Marginal Matching

9 November 2020

Yufei Wang

Papers citing "f-IRL: Inverse Reinforcement Learning via State Marginal Matching"

26 / 26 papers shown

Title
On the Effective Horizon of Inverse Reinforcement Learning Yiqing Xu Finale Doshi-Velez David Hsu 81 0 0 21 Feb 2025
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory Yangchun Zhang Wang Zhou Yirui Zhou 75 0 0 31 Dec 2024
Energy-Based Imitation Learning Minghuan Liu Tairan He Minkai Xu Weinan Zhang 42 48 0 20 Apr 2020
State Alignment-based Imitation Learning Fangchen Liu Z. Ling Tongzhou Mu Hao Su 43 93 0 21 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 67 249 0 06 Nov 2019
Efficient Exploration via State Marginal Matching Lisa Lee Benjamin Eysenbach Emilio Parisotto Eric Xing Sergey Levine Ruslan Salakhutdinov 104 244 0 12 Jun 2019
Imitation Learning as $f$ -Divergence Minimization Liyiming Ke Sanjiban Choudhury Matt Barnes Wen Sun Gilwoo Lee S. Srinivasa VLM 54 161 0 30 May 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation Ruohan Wang C. Ciliberto P. Amadori Y. Demiris 52 62 0 16 May 2019
Learning agile and dynamic motor skills for legged robots Jemin Hwangbo Joonho Lee Alexey Dosovitskiy Dario Bellicoso Vassilios Tsounis V. Koltun Marco Hutter 103 1,304 0 24 Jan 2019
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 52 61 0 17 Sep 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 73 671 0 02 May 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 48 439 0 26 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 284 8,313 0 04 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 118 749 0 30 Oct 2017
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 116 1,946 0 19 Sep 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 721 0 24 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 166 4,825 0 26 Jan 2017
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models Chelsea Finn Paul Christiano Pieter Abbeel Sergey Levine OffRL AI4CE GAN 62 353 0 11 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,101 0 10 Jun 2016
Cooperative Inverse Reinforcement Learning Dylan Hadfield-Menell Anca Dragan Pieter Abbeel Stuart J. Russell 65 645 0 09 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 131 1,654 0 02 Jun 2016
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation Shashank Singh Barnabás Póczós 29 35 0 28 Mar 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 946 0 01 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 66 404 0 17 Jul 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 274 6,755 0 19 Feb 2015