Intrinsic Reward Driven Imitation Learning via Generative Model

Intrinsic Reward Driven Imitation Learning via Generative Model

26 June 2020

Ivor W. Tsang

Papers citing "Intrinsic Reward Driven Imitation Learning via Generative Model"

15 / 15 papers shown

Title
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research Veda C. Storey Wei Thoo Yue J. Leon Zhao Roman Lukyanenko 61 1 0 25 Feb 2025
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing Guo Ivor W. Tsang 411 0 0 11 Nov 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 146 0 0 29 May 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 117 4 0 06 Nov 2023
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 71 357 0 12 Apr 2019
Generative predecessor models for sample-efficient imitation learning Yannick Schroecker Mel Vecerík Jonathan Scholz VLM 43 31 0 01 Apr 2019
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 55 61 0 17 Sep 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 127 756 0 30 Oct 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 207 1,352 0 19 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 108 2,437 0 15 May 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 334 5,364 0 03 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,106 0 10 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 220 5,076 0 05 Jun 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 207 1,584 0 09 Mar 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013