Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

1 October 2018

Pieter Abbeel

Papers citing "Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow"

21 / 21 papers shown

Title
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators Ziyu Zhang S. Bashkirov Dun Yang Michael Taylor Xue Bin Peng 38 0 0 08 May 2025
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning Fan Luo Tian Xu Xingchen Cao Yang Yu OffRL 22 7 0 09 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 38 13 0 31 Aug 2023
Policy Contrastive Imitation Learning Jialei Huang Zhao-Heng Yin Yingdong Hu Yang Gao 17 3 0 06 Jul 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 17 0 0 02 Feb 2023
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations Sijie Mai Ying Zeng Haifeng Hu 32 66 0 31 Oct 2022
Disentangled Action Recognition with Knowledge Bases Zhekun Luo Shalini Ghosh Devin Guillory Keizo Kato Trevor Darrell Huijuan Xu 21 7 0 04 Jul 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 18 5 0 20 Jun 2022
Imitation Learning from Observations under Transition Model Disparity Tanmay Gangwani Yuanfei Zhou Jian-wei Peng 16 12 0 25 Apr 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 22 44 0 15 Mar 2022
Pre-Trained Language Models for Interactive Decision-Making Shuang Li Xavier Puig Chris Paxton Yilun Du Clinton Jia Wang ... Anima Anandkumar Jacob Andreas Igor Mordatch Antonio Torralba Yuke Zhu LM&Ro 34 246 0 03 Feb 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 24 0 0 20 Dec 2021
Improving Subgraph Recognition with Variational Graph Information Bottleneck Junchi Yu Jie Cao Ran He 22 53 0 18 Dec 2021
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 11 6 0 09 Dec 2020
Graph Information Bottleneck for Subgraph Recognition Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang R. He 9 153 0 12 Oct 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 22 163 0 15 Jul 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 15 86 0 16 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 10 7 0 07 Jun 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 20 93 0 31 Dec 2019
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck Yuxuan Song Lantao Yu Zhangjie Cao Zhiming Zhou Jian Shen Shuo Shao Weinan Zhang Yong Yu 17 17 0 21 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 23 10 0 12 Nov 2019