Boltzmann machine

Reinforcement Learning with Deep Energy-Based Policies

Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine

Citations: 434 • 2017

Analytic formulation of the principle of increasing precision with decreasing intelligence for intelligent machines

G.N. Saridis

Citations: 170 • 1989

Hidden state and reinforcement learning with instance-based state identification

R. Andrew McCallum

Citations: 75 • 1996

HF-SPHR: Hybrid Features for Sustainable Physical Healthcare Pattern Recognition Using Deep Belief Networks

Madiha Javeed, Munkhjargal Gochoo, Ahmad Jalal, Kibum Kim

Citations: 60 • 2021

Factored four way conditional restricted Boltzmann machines for activity recognition

Decebal Constantin Mocanu, Haitham Bou Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiß, Karl Tuyls

Citations: 47 • 2015

FPGA implementation of a Deep Belief Network architecture for character recognition using stochastic computation

Kayode Sanni, Guillaume Garreau, Jamal Lottier Molin, Andreas G. Andreou

Citations: 45 • 2015

Imitation of human expressions based on emotionestimation by mental simulation

Takato Horii, Yukie Nagai, Minoru Asada

Citations: 21 • 2016

LESS is More

Citations: 21 • 2020

From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning

Stefan Elfwing, Eiji Uchibe, Kenji Doya

Citations: 17 • 2016

A multi-valued Boltzmann machine

Chin‐Teng Lin, C.S.G. Lee

Citations: 17 • 1995

Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features

Nabila Zrira, Haris Ahmad Khan, El Houssine Bouyakhf

Citations: 15 • 2018

Real-Time Keypoint Recognition Using Restricted Boltzmann Machine

Miaolong Yuan, Huajin Tang, Haizhou Li

Citations: 14 • 2014

A practical type-3 Fuzzy control for mobile robots: predictive and Boltzmann-based learning

Abdulaziz S. Alkabaa, Osman Taylan, Muhammed Balubaid, Chunwei Zhang, Ardashir Mohammadzadeh

Citations: 13 • 2023

Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs

Stefan Elfwing, Makoto Otsuka, Eiji Uchibe, Kenji Doya

Citations: 11 • 2010

Partial Observer Decision Process Model for Crane-Robot Action

Asif Khan, Jianping Li, Amin Ul Haq, Shah Nazir, Naeem Ahmad, Naushad Varish, Asad Malik, Sarosh Patel

Citations: 10 • 2020

Background subtraction using the factored 3-way restricted Boltzmann machines

Soonam Lee, Daekeun Kim

Citations: 10 • 2018

Inexpensive user tracking using Boltzmann Machines

Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou Ammar, Zoran Živković, Antonio Liotta, Evgueni N. Smirnov

Citations: 9 • 2014

ANALYTIC FORMULATION OF THE PRINCIPLE OF INCREASING PRECISION WITH DECREASING INTELLIGENCE FOR INTELLIGENT MACHINES

G.N. Saridis

Citations: 9 • 1989

Vision based supervised restricted Boltzmann machine helps to actuate novel shape memory alloy accurately

Ritaban Dutta, Cherry Chen, D. Renshaw, Daniel Liang

Citations: 8 • 2021

Spiking neural network based emotional model for robot partner

János Botzheim, Naoyuki Kubota

Citations: 8 • 2014