Manfred Huber

发表

ATM networks (2nd ed.): concepts, protocols, applications

Rainer Händel, Manfred Huber, Stefan Schröder, 1994 .

A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes

Manfred Huber, Rasool Fakoor, M. Huber, 2012, 2012 11th International Conference on Machine Learning and Applications.

Using deep learning to enhance cancer diagnosis and classication

Manfred Huber, Rasool Fakoor, Faisal Ladhak, 2013 .

Improving tractability of POMDPs by separation of decision and perceptual processes

Manfred Huber, Rasool Fakoor, M. Huber, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

LEARNING TASK-SPECIFIC MEMORY POLICIES

Manfred Huber, Srividhya Rajendran, M. Huber, 2004 .

A particle filter approach for multi-target tracking

Manfred Huber, Hwang Ryol Ryu, M. Huber, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Encoding user motion preferences in harmonic function path planning

Manfred Huber, Giles D'Silva, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Prior structure for online learning

Roderic A. Grupen, Manfred Huber, R. Grupen, 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

Generative NNI Transformation Strategies in Binary Trees Using Reinforcement Learning

Manfred Huber, Shirin Shirvani, M. Huber, 2019, The Florida AI Research Society.

State Space Reduction For Hierarchical Reinforcement Learning

Manfred Huber, Mehran Asadi, M. Huber, 2004, FLAIRS.

Inverse reinforcement learning for decentralized non-cooperative multiagent systems

Gergely V. Záruba, Manfred Huber, Tummalapalli Sudhamsh Reddy, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Singular race models: addressing bias and accuracy in predicting prisoner recidivism

Manfred Huber, Leonidas Fegaras, Bhanu Jain, 2019, PETRA.

Learning from Reinforcement and Advice Using Composite Reward Functions

Manfred Huber, Vinay N. Papudesi, 2003, FLAIRS Conference.

Quartet converter (Quatro).

Manfred Huber, Ralf Exler, Christian Linke, 2000 .

Pseudo-hierarchical ant-based clustering using a heterogeneous agent hierarchy and automatic boundary formation

Manfred Huber, Jeremy B. Brown, M. Huber, 2010, GECCO '10.

Building a haptically enhanced computer desktop for the physically disabled using a force feedback mouse

Manfred Huber, Brian Holbert, M. Huber, 2008 .

Enhanced targeting in a haptic user interface for the physically disabled using a force feedback mouse

Manfred Huber, Brian Joseph Holbert, M. Huber, 2007 .

Method and apparatus for self-tool change with hobbing

Manfred Huber, Manfred Erhardt, Werner Fendt, 1978 .

Generalizing and Categorizing Skills in Reinforcement Learning Agents Using Partial Policy Homomorphisms

Manfred Huber, Srividhya Rajendran, M. Huber, 2009, FLAIRS.

Learning to generalize and reuse skills using approximate partial policy homomorphisms

Manfred Huber, Srividhya Rajendran, M. Huber, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

A hybrid architecture for hierarchical reinforcement learning

Manfred Huber, M. Huber, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

A method for subscriber-side transmission of information in a terminal transmission system

Manfred Huber, Ulrich Gremmelmaier, M. Huber, 1998 .

A method for transmitting Internet datagrams

Manfred Huber, Ulrich Gremmelmaier, M. Huber, 1999 .

Integrating User Commands and Autonomous Task Performance in a Reinforcement Learning Framework

Diane J. Cook, Manfred Huber, V. N. Papudesi, 2003 .

Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies

Manfred Huber, Mehran Asadi, M. Huber, 2007, IJCAI.

Learning Task-Specific Sensing, Control and Memory Policies

Manfred Huber, Srividhya Rajendran, M. Huber, 2005, Int. J. Artif. Intell. Tools.

Social Influence Modeling for Utility Functions in Model Predictive Control

Manfred Huber, Timothy Michael Dockins, M. Huber, 2012, FLAIRS.

Indoor location tracking using RSSI readings from a single Wi-Fi access point

Imrich Chlamtac, Gergely V. Záruba, Manfred Huber, 2007, Wirel. Networks.

ATM Networks: Concepts, Protocols, Applications

Rainer Händel, Manfred Huber, Stefan Schröder, 1998 .

Use of RSSI and time-of-flight wireless signal characteristics for location tracking

Gergely V. Záruba, Vassilis Athitsos, Manfred Huber, 2011, PETRA '11.

How to Conduct Research Some Rules of Thumb

Gergely Zaruba, Manfred Huber, M. Huber, 2008 .

Design and evaluation of haptic effects for use in a computer desktop for the physically disabled

Manfred Huber, Brian Holbert, M. Huber, 2008, PETRA '08.

Automated Decision Making

Manfred Huber, M. Huber, 2005 .

Manfred Huber, Po-Hsiang Chiu, 2009, 2009 International Conference on Machine Learning and Applications.

PESTO: Data integration for visualization and device control in the SmartCare project

Gergely V. Záruba, Manfred Huber, Nicholas Brent Burns, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

2-D contact detection and localization using proprioceptive information

Roderic A. Grupen, Manfred Huber, 1994, IEEE Trans. Robotics Autom..

Particle filter based object tracking in a stereo vision system

Manfred Huber, Anup S. Sabbi, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Robust Control Basis for Coordinating Multiple Manipulators

Roderic A. Grupen, Manfred Huber, Kamal Souccar, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

An assistive navigation paradigm using force feedback

Manfred Huber, John H. C. Staton, M. Huber, 2009, ARSO 2009.

SIA 2051 Building Information Modelling – Grundlagen zur Anwendung der BIM-Methode

Manfred Huber, 2018 .

A Framework For Humanoid Control and Intelligence

Oliver Brock, Robert Platt, Roderic A. Grupen, 2003 .

Reinforcement Learning Acceleration through Autonomous Subgoal Discovery

Manfred Huber, Mehran Asadi, M. Huber, 2005, MLMTA.

A game theoretic framework for communication decisions in multiagent systems

Gergely Zaruba, Manfred Huber, Tummalapalli Sudhamsh Reddy, 2012 .

2-D contact detection and localization using proprioceptive information

Roderic A. Grupen, Manfred Huber, R. Grupen, 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

Learning task decomposition and exploration shaping for reinforcement learning agents

Manfred Huber, Predrag Djurdjevic, M. Huber, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Balanced k-Nearest Neighbors

Manfred Huber, Brian Cook, M. Huber, 2019, FLAIRS Conference.

Using Multi-Agent Options to Reduce Learning Time in Reinforcement Learning

Manfred Huber, Danielle M. Clement, M. Huber, 2015, FLAIRS.

Robust finger gaits from closed-loop controllers

Roderic A. Grupen, Manfred Huber, R. Grupen, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Generalized reinforcement learning with an application in generic workload management systems

Manfred Huber, Po-Hsiang Chiu, 2011 .

Cost-Based Policy Mapping for Imitation

Manfred Huber, Srichandan V. Gudla, 2003, FLAIRS Conference.

Efficient, swarm-based path finding in unknown graphs using reinforcement learning

Frank L. Lewis, Manfred Huber, Muhammad Aurangzeb, 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

Distributed Control Representation for Manipulation Tasks

Roderic A. Grupen, Manfred Huber, Jefferson A. Coelho, 1995, IEEE Expert.

A feedback control structure for on-line learning tasks

Roderic A. Grupen, Manfred Huber, R. Grupen, 1997, Robotics Auton. Syst..

Autonomous identification, categorization and generalization of policies based on task type

Manfred Huber, Srividhya Rajendran, M. Huber, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Training neural networks with policy gradient

Manfred Huber, Sourabh Bose, M. Huber, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

User-guided reinforcement learning of robot assistive tasks for an intelligent environment

Diane J. Cook, Yi Wang, Manfred Huber, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Complexity and Error Propagation of Localization Using Interferometric Ranging

Gergely V. Záruba, Rui Huang, Manfred Huber, 2007, 2007 IEEE International Conference on Communications.

A hybrid architecture for adaptive robot control

Roderic A. Grupen, Manfred Huber, R. Grupen, 2000 .

Dynamic heuristic planner selection

Manfred Huber, Brian Cook, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Learning to Control a Smart Home Environment

Diane J. Cook, Manfred Huber, Michael Youngblood, 2003 .

Supervision and protection concepts for an optical network

Manfred Huber, Oliver Jahreis, M. Huber, 1995 .

CONNECT: a personal remote messaging and monitoring system to aid people with disabilities

David Levine, Gergely V. Záruba, Manfred Huber, 2005, IEEE Communications Magazine.

Automatic Formation of Abstract State Space Representations for Reinforcement Learning Agents Agents with Hierarchical Skill Sets

Manfred Huber, Mehran Asadi, M. Huber, 2008, Security and Management.

Building Bayesian Network based expert systems from rules

Manfred Huber, Saravanan Thirumuruganathan, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Learning imitation strategies using cost-based policy mapping and task rewards

Manfred Huber, Srichandan V. Gudla, 2004 .

Data Modeling Using Channel-Remapped Generalized Features

Manfred Huber, Houtan Rahmanian, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Developing Task Specific Sensing Strategies Using Reinforcement Learning

Manfred Huber, Srividhya Rajendran, 2004, FLAIRS Conference.

Symbol generation and feature selection for reinforcement learning agents using affordances and U-Trees

Manfred Huber, Marcus Carlos Oladell, M. Huber, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems

Gergely V. Záruba, Manfred Huber, Tummalapalli Sudhamsh Reddy, 2012, 2012 11th International Conference on Machine Learning and Applications.

Deep Belief Network for Modeling Hierarchical Reinforcement Learning Policies

Manfred Huber, Predrag Djurdjevic, M. Huber, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

ICA Analysis of Face Color for Health Applications

Manfred Huber, Timothy Michael Dockins, Roger Su, 2013, FLAIRS.

A Probabilistic Risk Assessment Framework for the Path Planning of Safe Task-Aware UAS Operations

Manfred Huber, Atilla Dogan, Uluhan C. Kaya, 2019, AIAA Scitech 2019 Forum.

A control basis for multilegged walking

Roderic A. Grupen, Manfred Huber, Willard S. MacDonald, 1996, Proceedings of IEEE International Conference on Robotics and Automation.

Learning a Causal Model from Household Survey Data by Using a Bayesian Belief Network

Manfred Huber, Francisco J. Torres, 2003 .

Efficient, swarm-based path finding in unknown graphs using reinforcement learning

Frank L. Lewis, Manfred Huber, Muhammad Aurangzeb, 2013, ICCA.

Research to classroom: experiences from a multi-institutional course in smart home technologies

Lisa J. Burnell, Charles Hannon, Manfred Huber, 2005 .

Show, Infer and Tell: Contextual Inference for Creative Captioning

Manfred Huber, Ankit Khare, 2019, BMVC.

Incremental learning of neural network classifiers using reinforcement learning

Manfred Huber, Sourabh Bose, M. Huber, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Architecture and performance evaluation of future photonic networks

Manfred Huber, Uwe Briem, Jan Späth, 1996 .

A Flexible, Plugin-Based Smarthome Simulation Framework with Application to Navigational Intention Prediction

Manfred Huber, John H. C. Staton, 2015, FLAIRS Conference.

Machine for finishing tooth flank of gear-shaped workpiece with internally toothed tool

Manfred Huber, Richard Mueller, Anton Schaller, 1994 .

A multimodal adaptive session manager for physical rehabilitation exercising

Fillia Makedon, Manfred Huber, Konstantinos Tsiakas, 2015, PETRA.

Learning Macros with an Enhanced LZ78 Algorithm

Manfred Huber, Forrest Elliott, 2005, FLAIRS Conference.

Learning state and action space hierarchies for reinforcement learning using action-dependent partitioning

Manfred Huber, Mehran Asadi, M. Huber, 2006 .

Dynamical categories and control policy selection

Roderic A. Grupen, Manfred Huber, J. A. Coelho, 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

Learning to Coordinate Controllers - Reinforcement Learning on a Control Basis

Roderic A. Grupen, Manfred Huber, R. Grupen, 1997, IJCAI.

Enhancing computer science education with a wireless intelligent simulation environment

Lawrence B. Holder, Diane J. Cook, Manfred Huber, 2004, J. Comput. High. Educ..

Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies

Manfred Huber, Sandeep Goel, M. Huber, 2003, FLAIRS.

A Framework for the Development of Robot Behavior

Roderic A. Grupen, Manfred Huber, R. Grupen, 2005 .

Design and evaluation of haptic effects for use in a computer desktop for the physically disabled

Manfred Huber, Brian Holbert, 2010, Universal Access in the Information Society.

A temporal potential function approach for path planning in dynamic environments

Manfred Huber, Vamsikrishna Gopikrishna, M. Huber, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Verfahren zur Übertragung von Internet-Datagrammen

Manfred Huber, Ulrich Gremmelmaier, M. Huber, 1999 .

A Hybrid Architecture for Learning Robot Control Tasks

Roderic A. Grupen, Manfred Huber, R. Grupen, 1999 .

Monte Carlo sampling based in-home location tracking with minimal RF infrastructure requirements

Gergely V. Záruba, Manfred Huber, Farhad A. Karnangar, 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

An approach for behavior discovery using clustering of dynamics

Manfred Huber, Ashokkumaar P. Loganathan, M. Huber, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

Semi-Unsupervised Clustering Using Reinforcement Learning

Manfred Huber, Sourabh Bose, M. Huber, 2016, FLAIRS.

Symbol Generation and Grounding for Reinforcement Learning Agents Using Affordances and Dictionary Compression

Manfred Huber, Marcus Carlos Oladell, M. Huber, 2012, FLAIRS.

Generalized reinforcement learning with concept-driven abstract actions

Manfred Huber, Po-Hsiang Chiu, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Learning Policies in Partially Observable MDPs with Abstract Actions Using Value Iteration

Manfred Huber, Hamed Janzadeh, M. Huber, 2013, FLAIRS.

Interactive refinement of control policies for autonomous robots

Manfred Huber, V. N. Papudesi, 2004 .

VHDL-based communication- and synchronization synthesis

Wolfgang Ecker, Manfred Huber, W. Ecker, 1995, Proceedings of EURO-DAC. European Design Automation Conference.

A Control Structure For Learning Locomotion Gaits

Roderic A. Grupen, Manfred Huber, R. Grupen, 1998 .

A method for handover of an existing logical connection

Manfred Huber, Cornel Klein, 1999 .

Reactive grasping using optical proximity sensors

Ashutosh Saxena, Andrew Y. Ng, Manfred Huber, 2009, 2009 IEEE International Conference on Robotics and Automation.

Temporal and agent abstractions in multiagent reinforcement learning

Manfred Huber, Danielle M. Clement, M. Huber, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Method and device for monitoring objects

Manfred Huber, Klaus Juengling, Bruce Wm. Behling, 1993 .

BIM – Building Information Modelling

Manfred Huber, M. Huber, 2018 .

Integrated broadband networks : an introduction to ATM-based networks

Rainer Händel, Manfred Huber, M. Huber, 1991 .

A method for subscriber-side transmission of circuit-switching data and packet-switching data in a subscriber line network

Manfred Huber, M. Huber, 1997 .

Customer network configurations and generic flow control

Rainer Händel, Manfred Huber, 1991 .

Optimizing trajectories of mobile beacons to localize sensor networks

Lanjiang Zhou, Gergely V. Záruba, Manfred Huber, 2010, PETRA '10.

A Bayesian sampling approach to in-door localization of wireless devices using received signal strength indication

Gergely V. Záruba, Manfred Huber, Vinay Seshadri, 2005, Third IEEE International Conference on Pervasive Computing and Communications.

Reinforcement field

Manfred Huber, Po-Hsiang Chiu, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

SmartCare: An introduction

Gergely V. Záruba, Manfred Huber, Nicholas Brent Burns, 2017, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

Action Dependent State Space Abstraction for Hierarchical Learning Systems

Manfred Huber, Mehran Asadi, M. Huber, 2005, Artificial Intelligence and Applications.

Second IEEE PerCom workshop on pervasive health technologies 2017 - Welcome and committees

Gergely Zaruba, Manfred Huber, M. Huber, 2017, PerCom 2017.

Correction: A Probabilistic Risk Assessment Framework for the Path Planning of Safe Task-Aware UAS Operations

Manfred Huber, Atilla Dogan, Uluhan C. Kaya, 2019, AIAA Scitech 2019 Forum.

Autonomous Subgoal Discovery and Hierarchical Abstraction for Reinforcement Learning Using Monte Carlo Method

Manfred Huber, Mehran Asadi, M. Huber, 2005, AAAI.

Learning the Next Best View for 3D Point Clouds via Topological Features

Manfred Huber, William J. Beksi, Christopher Collander, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization pdf

Ramez Elmasri, Manfred Huber, Bhanu Jain, 2021, ArXiv.

An Automatic Calibration Technique for Force Sensors in a Dynamic Smart Floor Environment

Gergely V. Záruba, Manfred Huber, Nicholas Brent Burns, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Contextual Control Policy SelectionJe erson

Manfred Huber, M. Huber, E. Araujo, 1998 .