OptionGAN: Learning Joint Reward-Policy Options using Generative
Adversarial Inverse Reinforcement Learning

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

20 September 2017

Peter Henderson

Pierre-Luc Bacon

Papers citing "OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning"

18 / 18 papers shown

Title
Imitation Learning with Additional Constraints on Motion Style using Parametric Bias Kento Kawaharazuka Yoichiro Kawamura K. Okada Masayuki Inaba 58 12 0 10 Jul 2024
Hierarchical Imitation Learning with Vector Quantized Models Kalle Kujanpää Joni Pajarinen Alexander Ilin 29 12 0 30 Jan 2023
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 40 5 0 15 Apr 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 45 8 0 28 Jan 2022
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles Won Joon Yun Myungjae Shin Soyi Jung S. Kwon Joongheon Kim 27 5 0 26 Dec 2021
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 42 4 0 16 Dec 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 101 28 0 13 Jul 2021
Online Baum-Welch algorithm for Hierarchical Imitation Learning Vittorio Giammarino I. Paschalidis OffRL 27 2 0 22 Mar 2021
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression Letian Chen Rohan R. Paleja Matthew C. Gombolay SSL 19 107 0 17 Oct 2020
Multimodal Trajectory Optimization for Motion Planning Takayuki Osa 39 55 0 16 Mar 2020
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation Letian Chen Rohan R. Paleja Muyleng Ghuy Matthew C. Gombolay 47 38 0 02 Jan 2020
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 32 33 0 18 Jun 2019
Recent Advances in Imitation Learning from Observation F. Torabi Garrett A. Warnell Peter Stone 33 163 0 30 May 2019
Randomized Adversarial Imitation Learning for Autonomous Driving Myungjae Shin Joongheon Kim 36 25 0 13 May 2019
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 55 831 0 16 Nov 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization Yanshuai Cao G. Ding Kry Yik-Chau Lui Ruitong Huang GAN 18 19 0 09 May 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning Joshua Romoff Peter Henderson Alexandre Piché Vincent François-Lavet Joelle Pineau 42 42 0 09 May 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling Xin Eric Wang Wenhu Chen Yuan-fang Wang William Yang Wang 21 157 0 24 Apr 2018