A. Lörincz

发表

Learning Tetris Using the Noisy Cross-Entropy Method

András Lörincz, István Szita, I. Szita, 2006, Neural Computation.

Topology Learning Solved by Extended Objects: A Neural Network Model

András Lörincz, Csaba Szepesvári, László Balázs, 1994, Neural Computation.

Neurocontroller using dynamic state feedback for compensatory control

András Lörincz, Csaba Szepesvári, Szabolcs Cimmer, 1997, Neural Networks.

Module-Based Reinforcement Learning: Experiments with a Real Robot

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 1998, Machine Learning.

MDPs: Learning in Varying Environments

András Lörincz, Bálint Takács, István Szita, 2003, J. Mach. Learn. Res..

Approximate geometry representations and sensory fusion

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1996, Neurocomputing.

Modular Reinforcement Learning: A Case Study in a Robot Domain

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 2000, Acta Cybern..

Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1993, Adapt. Behav..

Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1996, ICANN.

Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops

András Lörincz, Csaba Szepesvári, György Hévízi, 2001, Int. J. Neural Syst..

The many faces of optimism: a unifying approach

András Lörincz, István Szita, I. Szita, 2008, ICML '08.

Two‐Phase Computational Model Training Long‐Term Memories in the Entorhinal‐Hippocampal Region

A. Lörincz, G. Buzsáki, András Lörincz, 2000, Annals of the New York Academy of Sciences.

Parallel and robust skeletonization built on self-organizing elements

Csaba Szepesvári, Zsolt Kalmár, Zsolt Marczell, 1999, Neural Networks.

Kalman filter control in the reinforcement learning framework

András Lörincz, István Szita, I. Szita, 2003, ArXiv.

Categories, prototypes and memory systems in Alzheimer's disease

A. Lörincz, S. Kéri, G. Benedek, 2002, Trends in Cognitive Sciences.

Reinforcement Learning with Linear Function Approximation and LQ control Converges

András Lörincz, István Szita, I. Szita, 2003, ArXiv.

Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man

András Lörincz, István Szita, I. Szita, 2007, J. Artif. Intell. Res..

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

Barnabás Póczos, András Lörincz, A. Lörincz, 2009, J. Mach. Learn. Res..

Auto-regressive independent process analysis without combinatorial efforts

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2010, Pattern Analysis and Applications.

Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification

Barnabás Póczos, András Lörincz, Zoltán Ádám Milacski, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Collaborative Filtering via Group-Structured Dictionary Learning

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2012, LVA/ICA.

D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks pdf

Barnabás Póczos, András Lörincz, A. Lörincz, 2008, ArXiv.

Cross-Entropy Optimization for Independent Process Analysis

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2006, ICA.

Kalman-filtering using local interactions

Barnabás Póczos, András Lörincz, A. Lörincz, 2003, ArXiv.

PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities

András Lörincz, István Szita, I. Szita, 2006, Neurocomputing.

Online variants of the cross-entropy method pdf

András Lörincz, István Szita, I. Szita, 2008, ArXiv.

Independent Subspace Analysis Using k-Nearest Neighborhood Distances

Barnabás Póczos, András Lörincz, A. Lörincz, 2005, ICANN.

Physiological patterns in the hippocampo‐entorhinal cortex system

A. Lörincz, G. Buzsáki, J. J. Chrobak, 2000, Hippocampus.

Independent component analysis forms place cells in realistic robot simulations

András Lörincz, Bálint Takács, A. Lörincz, 2006, Neurocomputing.

Self-Organizing Multi-Resolution Grid for Motion Planning and Control

András Lörincz, Csaba Szepesvári, Tamás Rozgonyi, 1996, Int. J. Neural Syst..

The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood

Daniel Sonntag, Sonja Zillner, Luciano Serafini, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa

András Lörincz, Ákos Bontovics, Balázs Pintér, 2009, ALA.

Autoregressive model of the hippocampal representation of events

András Lörincz, Gábor Szirtes, A. Lörincz, 2009, 2009 International Joint Conference on Neural Networks.

Independent Component Analysis of Temporal Sequences Subject to Constraints by Lateral Geniculate Nucleus Inputs Yields All the Three Major Cell Types of the Primary Visual Cortex

András Lörincz, Botond Szatmáry, A. Lörincz, 2001, Journal of Computational Neuroscience.

Efficient Sparse Coding in Early Sensory Processing: Lessons from Signal Recovery

András Lörincz, Zsolt Palotai, Gábor Szirtes, 2012, PLoS Comput. Biol..

Independent component analysis of temporal sequences forms place cells

András Lörincz, György Buzsáki, Bálint Takács, 2001, Neurocomputing.

Separation theorem for independent subspace analysis and its consequences

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2012, Pattern Recognit..

Fast adapting value estimation-based hybrid architecture for searching the world-wide web

András Lörincz, István Kókai, A. Lörincz, 2002, Appl. Soft Comput..

Colors of Autism Spectrum A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

A. Lörincz, András Lörincz, 2018 .

Innovative Assessment Technologies in Educational Games Designed for Young Students

A. Lörincz, B. Csapó, G. Molnár, 2012 .

Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms

Barnabás Póczos, András Lörincz, Julian Eggert, 2002, ECAI.

Grid continuation in the entorhinal cortex by multi-modal integration

A. Lörincz, G. Szirtes, András Lörincz, 2010 .