Information bottleneck method

A Framework for Resolving Open-World Referential Expressions in Distributed Heterogeneous Knowledge Bases

Tom Williams, Matthias Scheutz

Citations: 30 • 2016

Environment model adaptation for mobile robot exploration

Erik Nelson, Micah Corah, Nathan Michael

Citations: 23 • 2017

Information-theoretic occupancy grid compression for high-speed information-based exploration

Erik Nelson, Nathan Michael

Citations: 21 • 2015

Rapid Exploration for Open-World Navigation with Latent Goal Models

Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine

Citations: 19 • 2021

An information pipeline model of human-robot interaction

Kevin Gold

Citations: 17 • 2009

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning

Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin

Citations: 17 • 2020

Towards socially adaptive robots: A novel method for real time recognition of human-robot interaction styles

Dorothée François, Daniel Polani, Kerstin Dautenhahn

Citations: 14 • 2008

Learning Dexterous Manipulation from Suboptimal Experts

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

Citations: 12 • 2020

Multimodal information bottleneck for deep reinforcement learning with multiple sensors

Bang You, Huaping Liu

Citations: 11 • 2024

DCPoint: Global-Local Dual Contrast for Self-Supervised Representation Learning of 3-D Point Clouds

Lu Shi, Guoqing Zhang, Qi Cao, Linna Zhang, Yigang Cen, Yi Cen

Citations: 8 • 2024

Learning Task-Driven Control Policies via Information Bottlenecks

Vincent Pacelli, Anirudha Majumdar

Citations: 8 • 2020

Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes

Citations: 7 • 2020

Variational Information Bottleneck Regularized Deep Reinforcement Learning for Efficient Robotic Skill Adaptation

Guofei Xiang, Songyi Dian, Shaofeng Du, Zhonghui Lv

Citations: 3 • 2023

Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck

Liyi Luo, Beiwen Tian, Hao Zhao, Guyue Zhou

Citations: 3 • 2021

Multi-View Dreaming: Multi-View World Model with Contrastive Learning

Akira Kinose, Masashi Okada, Ryo Okumura, Tadahiro Taniguchi

Citations: 3 • 2022

Information-Theoretic Odometry Learning

Sen Zhang, Jing Zhang, Dacheng Tao

Citations: 2 • 2022

FAVAE: SEQUENCE DISENTANGLEMENT USING IN- FORMATION BOTTLENECK PRINCIPLE

Masanori Yamada, Hee‐Cheol Kim, Kosuke Miyoshi, Hiroshi Yamakawa

Citations: 2 • 2018