Adapting a Hybrid Intelligent Reinforcement Learning Environment

Adapting a Hybrid Intelligent Reinforcement Learning Environment

Learning is seen as the process of interaction between two sides. First one is a virtual teacher - an intellectual learning environment that accumulates in its base the didactically and methodically structured material of the specific discipline for transferring it to the student. The other side is...

Full description

Bibliographic Details
Main Authors:	Pavel Basalin, Dmitrii Kulikov, Yuliya Maskina
Format:	Article
Language:	Russian
Published:	The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2020-11-01
Series:	Современные информационные технологии и IT-образование
Subjects:	hybrid intelligent learning environment knowledge-based system fuzzy production rules feedforward neural network reinforcement adaptation
Online Access:	http://sitito.cs.msu.ru/index.php/SITITO/article/view/692

Similar Items

Action Strategies in Intelligent Reinforcement Learning Environments
by: Pavel Basalin, et al.
Published: (2021-04-01)

RULE-BASED HYBRID INTELLIGENT LEARNING ENVIRONMENT IMPLEMENTATION
by: Pavel D. Basalin, et al.
Published: (2018-03-01)

Composite Error-Based Intelligent Adaptive Sliding Mode Control for Uncertain Bilaterally Symmetrical Hybrid Robot with Variational Desired Trajectories
by: Qiuyue Qin, et al.
Published: (2021-03-01)

A New Generation of Adaptive Control: An Intelligent Supervisory Loop Approach
by: Kamalasadan, Sukumar
Published: (2004)

Kalman Filter-Based Adaptive Delay Compensation for Benchmark Problem in Real-Time Hybrid Simulation
by: Xizhan Ning, et al.
Published: (2020-10-01)

An Intelligent Adaptive Kalman Filter for Integrated Navigation Systems
by: Fei Yan, et al.
Published: (2020-01-01)

Boosting Intelligent Data Analysis in Smart Sensors by Integrating Knowledge and Machine Learning
by: Piotr Łuczak, et al.
Published: (2021-09-01)

Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants
by: Thomas Simpson, et al.
Published: (2020-09-01)

Application of artificial intelligence to estimate phycocyanin pigment concentration using water quality data: a comparative study
by: Salim Heddam, et al.
Published: (2019-09-01)

An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System
by: Ana IGLESIAS, et al.
Published: (2003-10-01)

An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic
by: A.H. Khabbaz, et al.
Published: (2019-04-01)

Towards Characterization of Indoor Environment in Smart Buildings: Modelling PMV Index Using Neural Network with One Hidden Layer
by: Marek Dudzik
Published: (2020-08-01)

Reinforcement Learning Approach to Design Practical Adaptive Control for a Small-Scale Intelligent Vehicle
by: Bo Hu, et al.
Published: (2019-09-01)

Hybrid Generalised Additive Type-2 Fuzzy-Wavelet-Neural Network in Dynamic Data Mining
by: Bodyanskiy Yevgeniy, et al.
Published: (2015-12-01)

Large-Scale Feedforward Neural Network Optimization by a Self-Adaptive Strategy and Parameter Based Particle Swarm Optimization
by: Yu Xue, et al.
Published: (2019-01-01)

New Intelligent Transmission Concept for Hybrid Mobile Robot Speed Control
by: Nazim Mir-Nasiri, et al.
Published: (2008-11-01)

Day-Ahead Prediction of Microgrid Electricity Demand Using a Hybrid Artificial Intelligence Model
by: Yuan-Jia Ma, et al.
Published: (2019-05-01)

Artificial intelligence modelling and analysis of pivotal parameters in drilling hybrid fiber composite (HFC)
by: Nagarajan Visveshwar, et al.
Published: (2017-01-01)

Intelligent Algorithms for a Hybrid FuelCell/Photovoltaic Standalone System : Simulation Of Hybrid FuelCell/Photovoltaic Standalone System
by: Shah, Syed Fawad Ali
Published: (2010)

A new hybrid optimization method inspired from swarm intelligence: Fuzzy adaptive swallow swarm optimization algorithm (FASSO)
by: Mehdi Neshat, et al.
Published: (2015-11-01)

Analysis of Usability for the Dice CAPTCHA
by: Alessia Amelio, et al.
Published: (2019-06-01)

An intelligent energy allocation method for hybrid energy storage systems for electrified vehicles
by: Zhang, Xing
Published: (2018)

A new fuzzy regression model based on interval-valued fuzzy neural network and its applications to management
by: Somaye Yeylaghi, et al.
Published: (2017-06-01)

Trading Macro-Cycles of Foreign Exchange Markets Using Hybrid Models
by: Joseph Zhi Bin Ling, et al.
Published: (2021-09-01)

A General Model of Adaptive Tutorial Dialogues for Intelligent Tutoring Systems
by: Weerasinghe, A.
Published: (2013)

A Biological Mechanism Based Structure Self-Adaptive Algorithm for Feedforward Neural Network and Its Engineering Applications
by: Guang Han, et al.
Published: (2019-01-01)

Analysis and design of greenhouse temperature control using adaptive neuro-fuzzy inference system
by: Doaa M. Atia, et al.
Published: (2017-05-01)

Deep Reinforcement Learning Algorithms in Intelligent Infrastructure
by: Will Serrano
Published: (2019-08-01)

On-line Hybrid System of Computational Intelligence for Data Streams Adaptive Processing
by: Yevgeniy Bodyanskiy, et al.
Published: (2015-12-01)

Improvement of Deep Reinforcement Learning Using Curriculum in Game Environment
by: Mohammadreza Mohammadnejad, et al.
Published: (2020-02-01)

Reinforcement Learning
Published: (2008)

3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China
by: Jianpeng Yao, et al.
Published: (2020-12-01)

Flexural Behavior of Reinforced Concrete Slabs Reinforced with Innovative Hybrid Reinforcement of Geogrids and Steel Bars
by: Ramy Nasr Abdelmonem Mohamed, et al.
Published: (2020-09-01)

A Real-Time Intelligent Energy Management Strategy for Hybrid Electric Vehicles Using Reinforcement Learning
by: Woong Lee, et al.
Published: (2021-01-01)

An Analysis of Overfitting in Particle Swarm Optimised Neural Networks
by: van Wyk, Andrich Benjamin
Published: (2015)

Intelligent Adaptive Jerk Control With Dynamic Compensation Gain for Permanent Magnet Linear Synchronous Motor Servo System
by: Hao Yuan, et al.
Published: (2020-01-01)

Adaptive Feedforward Control of a Pressure Compensated Differential Cylinder
by: Konrad Johan Jensen, et al.
Published: (2020-11-01)

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
by: Oludare Isaac Abiodun, et al.
Published: (2019-01-01)

Forecasting Wastewater Treatment Results with an ANFIS Intelligent System
by: M. Mahshidnia, et al.
Published: (2016-10-01)

Forecasting Wastewater Treatment Results with an ANFIS Intelligent System
by: M. Mahshidnia, et al.
Published: (2016-10-01)