Principle of maximum entropy

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani

Citations: 400 • 2014

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Citations: 283 • 2018

Sampling-based A* algorithm for robot path-planning

Sven Mikael Persson, Inna Sharf

Citations: 161 • 2014

Cross-entropy motion planning

Marin Kobilarov

Citations: 137 • 2012

Evolving Spatiotemporal Coordination in a Modular Robotic System

Mikhail Prokopenko, Vadim Gerasimov, Ivan Tanev

Citations: 116 • 2006

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization

Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe

Citations: 111 • 2017

Information transfer at multiple scales

Max Lungarella, Alexandre Pitti, Yasuo Kuniyoshi

Citations: 92 • 2007

DEA cross-efficiency aggregation method based upon Shannon entropy

Jie Wu, Jiasen Sun

Citations: 85 • 2011

On reliability analysis method through rotational sparse grid nodes

Jinhui Wu, Dequan Zhang, Chao Jiang, Xu Han, Qing Li

Citations: 72 • 2020

Distributed Coverage and Exploration in Unknown Non-convex Environments

Subhrajit Bhattacharya, Nathan Michael, Vijay Kumar

Citations: 66 • 2012

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

Citations: 66 • 2019

Parts entropy methods for robotic assembly system design

Arthur C. Sanderson

Citations: 64 • 2005

Inverse reinforcement learning from failure

Citations: 59 • 2016

Inferring causal relationships in zebrafish-robot interactions through transfer entropy: a small lure to catch a big fish.

Maurizio Porfiri

Citations: 58 • 2018

A unifying probabilistic perspective for spectral dimensionality reduction: Insights and new models

Neil D. Lawrence

Citations: 56 • 2012

Fast Sampling-Based Cost-Aware Path Planning With Nonmyopic Extensions Using Cross Entropy

Junghun Suh, Joonsig Gong, Songhwai Oh

Citations: 53 • 2017

Potential information fields for mobile robot exploration

Joan Vallvé, Juan Andrade‐Cetto

Citations: 52 • 2014

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

Rui Zhao, Xudong Sun, Volker Tresp

Citations: 47 • 2019

Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing

Kian Hsiang Low, Jie Chen, John M. Dolan, Steve Chien, David R. Thompson

Citations: 46 • 2012

Maximum Information Measure Policies in Reinforcement Learning with Deep Energy-Based Model

Koustubh Sharma, Bhopendra Singh, Edwin Herman, R. Regine, S. Suman Rajest, Ved Prakash Mishra

Citations: 46 • 2021