Kagan Tumer

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

A multiagent approach to managing air traffic flow

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2010, Autonomous Agents and Multi-Agent Systems.

Team Formation in Partially Observable Multi-Agent Systems

Kagan Tumer, Adrian K. Agogino, 2004 .

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Kagan Tumer, Liz Sonenberg, Pinar Yolum, 2011, AAMAS 2011.

Optimal Reward Functions in Distributed Reinforcement Learning

Kagan Tumer, David H. Wolpert, D. Wolpert, 2001 .

A neuro-evolutionary approach to micro aerial vehicle control

Kagan Tumer, Max Salichon, Kagan Tumer, 2010, GECCO '10.

Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005, GECCO '05.

An Introduction to Collective Intelligence

Kagan Tumer, David H. Wolpert, D. Wolpert, 1999, ArXiv.

Multiagent reinforcement learning in a distributed sensor network with indirect feedback

Kagan Tumer, Mitchell K. Colby, Kagan Tumer, 2013, AAMAS.

Hierarchical simulation for complex domains: air traffic flow management

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2014, GECCO.

Learning to control complex tensegrity robots

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2013, AAMAS.

Combining reward shaping and hierarchies for scaling to large multiagent systems

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2016, The Knowledge Engineering Review.

Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2015, Artificial Life.

Structural adaptation and generalization in supervised feed-forward networks

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1994 .

The 2002 AAAI Spring Symposium Series

Gaurav S. Sukhatme, Sanda M. Harabagiu, Hans W. Guesgen, 2002, AI Mag..

Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents

Kagan Tumer, Logan Michael Yliniemi, Kagan Tumer, 2016, AAMAS Workshops.

Learning to Control Complex Tensegrity Robots (Extended Abstract)

Atil Iscen, Kagan Tumer, Vytas SunSpiral, 2013 .

Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems

Roland Siegwart, Lorenzo Sabattini, Jen Jen Chung, 2020, Adaptive Agents and Multi-Agent Systems.

Efficient Objective Functions for Coordinated Learning in Large-Scale Distributed OSA Systems

Bechir Hamdaoui, Kagan Tumer, MohammadJavad NoroozOliaee, 2013, IEEE Transactions on Mobile Computing.

Robot coordination with ad-hoc team formation

Kagan Tumer, Matt Knudson, 2010, AAMAS.

Classifier combining through trimmed means and order statistics

Kagan Tumer, Joydeep Ghosh, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Theoretical Foundations Of Linear And Order Statistics Combiners For Neural Pattern Classifiers

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1995 .

Distributed sensor coordination for advanced energy systems

Kagan Tumer, 2013 .

Intelligent Engineering Systems Through Artificial Neural Networks: Computational Intelligence in Architecting Complex Engineering Systems

Mitsuo Gen, Kagan Tumer, Cihan H. Dagli, 2009 .

Evolutionary agent-based simulation of the introduction of new technologies in air traffic management

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2014, GECCO.

Evolving Robust and Reconfigurable Multi-objective Controllers for Advanced Power Systems

Kagan Tumer, Kagan Tumer, 2018 .

Efficient credit assignment through evaluation function decomposition

Risto Miikkulainen, Kagan Tumer, Adrian K. Agogino, 2005, GECCO '05.

Collaborative Evolutionary Reinforcement Learning

Kagan Tumer, Shauharda Khadka, Evren Tumer, 2019, ICML.

Robust Order Statistics Based Ensembles for Distributed Data Mining

Kagan Tumer, Joydeep Ghosh, 2001 .

Learning sequences of actions in collectives of autonomous agents

Kagan Tumer, Adrian K. Agogino, David H. Wolpert, 2002, AAMAS '02.

Agent Reward Shaping for Alleviating Traffic Congestion

Kagan Tumer, Adrian Agogino, A. Agogino, 2006 .

Shaping fitness functions for coevolving cooperative multiagent systems

Kagan Tumer, Mitchell K. Colby, Kagan Tumer, 2012, AAMAS.

Input Decimation Ensembles: Decorrelation through Dimensionality Reduction

Kagan Tumer, Nikunj C. Oza, 2001, Multiple Classifier Systems.

Error Correlation and Error Reduction in Ensemble Classifiers

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1996, Connect. Sci..

CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract)

Kagan Tumer, Adrian K. Agogino, Matthew E. Taylor, 2014, AAMAS.

Collectives for multiple resource job scheduling across heterogeneous servers

Kagan Tumer, John W. Lawson, 2003, AAMAS '03.

Distributed Control with Collective Intelligence

Kagan Tumer, David H. Wolpert, Kevin R. Wheeler, 1998 .

Efficient agent-based models for non-genomic evolution

Kagan Tumer, Adrian K. Agogino, Nachi Gupta, 2006, AAMAS '06.

CLEAN rewards for improving multiagent coordination in the presence of exploration

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2013, AAMAS.

Combining coordination mechanisms to improve performance in multi-robot teams

Kagan Tumer, Ehsan M. Nasroullahi, Kagan Tumer, 2012, Artif. Intell. Res..

D++: Structural credit assignment in tightly coupled multiagent domains

Jen Jen Chung, Kagan Tumer, Mitchell K. Colby, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning from actions not taken: a multiagent learning algorithm

Kagan Tumer, Newsha Khani, Kagan Tumer, 2009, AAMAS.

Efficient agent-based cluster ensembles

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, AAMAS '06.

A Replicator Dynamics Analysis of Difference Evaluation Functions

Kagan Tumer, Mitchell K. Colby, 2015, AAMAS.

Learning from Actions not Taken in Multiagent Systems

Kagan Tumer, Newsha Khani, Kagan Tumer, 2009, Adv. Complex Syst..

Complete Multi-Objective Coverage with PaCcET

Kagan Tumer, Logan Michael Yliniemi, Kagan Tumer, 2015, GECCO.

Multirobot Coordination for Space Exploration

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2014, AI Mag..

Applications of ensemble methods

Kagan Tumer, Nikunj C. Oza, Kagan Tumer, 2008, Information Fusion.

Limits to performance gains in combined neural classifiers

Kagan Tumer, Joydeep Ghosh, 1995 .

Design of Complex Engineered Systems Using Multi-Agent Coordination

Irem Y. Tumer, Kagan Tumer, Christopher Hoyle, 2018, J. Comput. Inf. Sci. Eng..

Adaptivity in agent-based routing for data networks

Kagan Tumer, David H. Wolpert, Sergey Kirshner, 1999, AGENTS '00.

Analysis of decision boundaries in linearly combined neural classifiers

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1996, Pattern Recognit..

Dynamic Partnership Formation for Multi-Rover Coordination

Kagan Tumer, Matt Knudson, Kagan Tumer, 2013, Adv. Complex Syst..

QUICR-Learning for Multi-Agent Coordination

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, AAAI.

Elo Ratings for Structural Credit Assignment in Multiagent Systems

Kagan Tumer, Logan Michael Yliniemi, 2013, AAAI.

Collective Intelligence and Braess' Paradox

Kagan Tumer, David H. Wolpert, D. Wolpert, 2000, AAAI/IAAI.

Approximating Difference Evaluations with Local Information

Kagan Tumer, Mitchell K. Colby, William J. Curran, 2015, AAMAS.

Reinforcement Learning in Distributed Domains: Beyond Team Games

Kagan Tumer, David H. Wolpert, Joseph Sill, 2001, IJCAI.

UAS Conflict-Avoidance Using Multiagent RL with Abstract Strategy Type Communication

Kagan Tumer, Carrie Rebhuhn, Matt Knudson, 2014 .

When Less is More: Reducing Agent Noise with Probabilistically Learning Agents

Jen Jen Chung, Kagan Tumer, Scott Chow, 2018, AAMAS.

Ensembles of radial basis function networks for spectroscopic detection of cervical precancer

Kagan Tumer, Rebecca R. Richards-Kortum, Joydeep Ghosh, 1998, IEEE Transactions on Biomedical Engineering.

Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Classifier ensembles: Select real-world applications

Kagan Tumer, Nikunj C. Oza, Kagan Tumer, 2008, Inf. Fusion.

Regulating air traffic flow with coupled agents

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2008, AAMAS.

A Survey of Collective Intelligence

Kagan Tumer, David H. Wolpert, D. Wolpert, 2013 .

Achieving optimal elastic traffic rewards in dynamic multichannel access

Bechir Hamdaoui, Kagan Tumer, MohammadJavad NoroozOliaee, 2011, 2011 International Conference on High Performance Computing & Simulation.

Evolving distributed resource sharing for cubesat constellations

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2012, GECCO '12.

Decentralized coordination via task decomposition and reward shaping

Atil Iscen, Kagan Tumer, 2013, AAMAS.

Traffic Congestion Management as a Learning Agent Coordination Problem

Kagan Tumer, Adrian Agogino, Zachary T. Welch, 2009, Multi-Agent Systems for Traffic and Transportation Engineering.

Learning agents for distributed and robust spacecraft power management

Kagan Tumer, Adrian Agogino, 2006 .

Multiagent Learning for Black Box System Reward Functions

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2009, Adv. Complex Syst..

Dimensionality Reduction Through Classifier Ensembles

Kagan Tumer, Nikunj C. Oza, Peter Norwig, 1999 .

Simulation of the introduction of new technologies in air traffic management

Kagan Tumer, Adrian K. Agogino, Logan Michael Yliniemi, 2015, Connect. Sci..

Multi-fitness learning for behavior-driven cooperation

Kagan Tumer, Connor Yates, Reid Christopher, 2020, GECCO.

CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise

Kagan Tumer, Adrian K. Agogino, Matthew E. Taylor, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Handling Communication Restrictions and Team Formation in Congestion Games

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2006, Autonomous Agents and Multi-Agent Systems.

Improving Air Traffic Management with a Learning Multiagent System

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2009, IEEE Intelligent Systems.

Intelligent Engineering Systems through Artificial Neural Networks

Mitsuo Gen, Gürsel A. Süer, Kagan Tumer, 2009 .

Local Approximation of Difference Evaluation Functions

Jen Jen Chung, Kagan Tumer, Mitchell K. Colby, 2016, AAMAS.

Learning to trick cost-based planners into cooperative behavior

Geoffrey A. Hollinger, Jen Jen Chung, Kagan Tumer, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2013, AAMAS.

A Multiagent Approach to Identifying Innovative Component Selection

Irem Y. Tumer, Brady Gilchrist, Kagan Tumer, 2015 .

Applying genetic algorithms to the state assignment problem: a case study

José Nelson Amaral, Kagan Tumer, Joydeep Ghosh, 1992, Defense, Security, and Sensing.

Implicit adaptive multi-robot coordination in dynamic environments

Jen Jen Chung, Kagan Tumer, Mitchell K. Colby, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Efficient Evaluation Functions for Multi-rover Systems

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, GECCO.

A Survey of Collectives

Kagan Tumer, David H. Wolpert, D. Wolpert, 2004 .

Neuro-Evolutionary Navigation for Resource-Limited Mobile Robots

Kagan Tumer, Matt Knudson, Kagan Tumer, 2008 .

Curriculum Learning for Tightly Coupled Multiagent Systems

Kagan Tumer, Patrick Mannion, Golden Rockefeller, 2019, AAMAS.

Boundary variance reduction for improved classification through hybrid networks

Kagan Tumer, Joydeep Ghosh, 1995, SPIE Defense + Commercial Sensing.

Controlling tensegrity robots through evolution

Atil Iscen, Kagan Tumer, Adrian K. Agogino, 2013, GECCO '13.

Towards Coordinating Autonomous Robots for Exploration in Dynamic Environments

Kagan Tumer, Matt Knudson, Kagan Tumer, 2008 .

Collective Intelligence, Data Routing and Braess' Paradox

Kagan Tumer, David H. Wolpert, D. Wolpert, 2002, J. Artif. Intell. Res..

Memory-augmented multi-robot teams that learn to adapt

Jen Jen Chung, Kagan Tumer, Shauharda Khadka, 2017, 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Providing Effective Access to Shared Resources: A COIN Approach

Sandip Sen, Kagan Tumer, David H. Wolpert, 2003, Engineering Self-Organising Systems.

Evolving memory-augmented neural architecture for deep memory problems

Jen Jen Chung, Kagan Tumer, Shauharda Khadka, 2017, GECCO.

Multi-level Fitness Critics for Cooperative Coevolution

Kagan Tumer, Shauharda Khadka, Golden Rockefeller, 2020, AAMAS.

Agent fitness functions for evolving coordinated sensor networks

Kagan Tumer, Matt Knudson, Christian Roth, 2011, GECCO '11.

Robust Combining of Disparate Classifiers through Order Statistics

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1999, Pattern Analysis & Applications.

Ensemble clustering with voting active clusters

Kagan Tumer, Adrian Agogino, A. Agogino, 2008, Pattern Recognit. Lett..

Robust neuro-control for a micro quadrotor

Kagan Tumer, Jack F. Shepherd, Kagan Tumer, 2010, GECCO '10.

Coevolution of heterogeneous multi-robot teams

Kagan Tumer, Matt Knudson, Kagan Tumer, 2010, GECCO '10.

Coordinating simple and unreliable agents

Kagan Tumer, Kagan Tumer, 2006, AAMAS '06.

A Multiagent Coordination Approach to Robust Consensus Clustering

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2010, Adv. Complex Syst..

An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions

Kagan Tumer, Mitchell K. Colby, Kagan Tumer, 2015, GECCO.

Modeling difference rewards for multiagent learning

Kagan Tumer, Scott Proper, Kagan Tumer, 2012, AAMAS.

Efficient Evaluation Functions for Evolving Coordination

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2008, Evolutionary Computation.

A multiagent framework for learning dynamic traffic management strategies

Geoffrey A. Hollinger, Jen Jen Chung, Kagan Tumer, 2018, Autonomous Robots.

Improving Search Algorithms by Using Intelligent Coordinates

Kagan Tumer, David H. Wolpert, Esfandiar Bandari, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Evolving large scale UAV communication system

Kagan Tumer, Adrian K. Agogino, Chris HolmesParker, 2012, GECCO '12.

Robust predictive cruise control for commercial vehicles

Kagan Tumer, Jaime Junell, Kagan Tumer, 2013, Int. J. Gen. Syst..

A FRAMEWORK FOR ESTIMATING PERFORMANCE IMPROVEMENTS IN HYBRID PATTERN CLASSIFIERS

Kagan Tumer, Joydeep Ghosh, 2007 .

Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations

Kagan Tumer, Logan Michael Yliniemi, Drew Wilson, 2015, AAMAS.

Optimizing ballast design of wave energy converters using evolutionary algorithms

Kagan Tumer, Mitchell K. Colby, Ehsan M. Nasroullahi, 2011, GECCO '11.

Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II

Kagan Tumer, Logan Michael Yliniemi, Kagan Tumer, 2016, Soft Computing.

The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains

Roland Siegwart, Lorenzo Sabattini, Jen Jen Chung, 2019, Autonomous Agents and Multi-Agent Systems.

Optimizing Multiagent Cooperation via Policy Evolution and Shared Experiences

Kagan Tumer, Shauharda Khadka, Stephen McAleer, 2020, International Conference on Machine Learning.

Linear and Order Statistics Combiners for Pattern Classification

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1999, ArXiv.

Robot Coordination with Ad-hoc Team Formation (Extended Abstract)

Kagan Tumer, Matt Knudson, 2010 .

Towards a Distributed Multiagent Learning-Based Design Optimization Method

Irem Y. Tumer, Kagan Tumer, Christopher Hoyle, 2017, Design Automation Conference.

Evolutionary Reinforcement Learning pdf

Kagan Tumer, Shauharda Khadka, Kagan Tumer, 2018, NIPS 2018.

Addressing hard constraints in the air traffic problem through partitioning and difference rewards

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2013, AAMAS.

Evolving Multi Rover Systems in Dynamic and Noisy Environments

Kagan Tumer, Adrian K. Agogino, 2007, Evolutionary Computation in Dynamic and Uncertain Environments.

Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints

Kagan Tumer, Adrian K. Agogino, William J. Curran, 2013, GECCO '13 Companion.

Distributed agent-based air traffic flow management

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2007, AAMAS '07.

Fitness Critics for Multiagent Learning: Extended Abstract

Kagan Tumer, Patrick Mannion, Golden Rockefeller, 2019, 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Estimating the Bayes error rate through classifier combining

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1996, Proceedings of 13th International Conference on Pattern Recognition.

General principles of learning-based multi-agent systems

Kagan Tumer, David H. Wolpert, Kevin R. Wheeler, 1999, AGENTS '99.

Time-extended policies in multi-agent reinforcement learning

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Fast Multiagent Learning: Cashing in on Team Knowledge

Kagan Tumer, Newsha Khani, Kagan Tumer, 2008 .

Coordination in Large Collectives

Kagan Tumer, 2004 .

Collectives for the Optimal Combination of Imperfect Objects

Kagan Tumer, David H. Wolpert, D. Wolpert, 2003, ArXiv.

Maneuver Classification for Aircraft Fault Detection

Irem Y. Tumer, Kagan Tumer, Edward M. Huff, 2003 .

Classification of Aircraft Maneuvers for Fault Detection

Irem Y. Tumer, Kagan Tumer, Edward M. Huff, 2003, Multiple Classifier Systems.

The Power of Suggestion

Kagan Tumer, Nicholas Zerbel, Kagan Tumer, 2020, AAMAS.

Design of Complex Engineering Systems Using Multiagent Coordination

Irem Y. Tumer, Kagan Tumer, Nicolás F. Soria, 2016, DAC 2016.

Improving Simulated Annealing by Recasting it as a Non-Cooperative Game

Kagan Tumer, David H. Wolpert, Esfandiar Bandari, 2001 .

Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System

Kagan Tumer, Logan Michael Yliniemi, Mitchell K. Colby, 2016, GECCO.

Input decimated ensembles

Kagan Tumer, Nikunj C. Oza, Kagan Tumer, 2003, Pattern Analysis & Applications.

Modeling Difference Rewards for Multiagent Learning (Extended Abstract)

Kagan Tumer, Scott Proper, Kagan Tumer, 2012 .

Efficient Reward Functions for Adaptive Multi-rover Systems

Kagan Tumer, Adrian K. Agogino, 2005, LAMAS.

Autonomous Multiagent Space Exploration with High-Level Human Feedback

Kagan Tumer, Logan Michael Yliniemi, Mitchell K. Colby, 2016, J. Aerosp. Inf. Syst..

Multiagent Flight Control in Dynamic Environments with Cooperative Coevolutionary Algorithms

Kagan Tumer, Matt Knudson, Mitchell K. Colby, 2014, AAAI Spring Symposia.

Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems

Jen Jen Chung, Kagan Tumer, Shauharda Khadka, 2019, Evolutionary Computation.

Optimal Wonderful Life Utility Functions in Multi-Agent Systems

Kagan Tumer, David H. Wolpert, Keith Swanson, 2000 .

Improving Air Traffic Management through Agent Suggestions (Extended Abstract)

Kagan Tumer, Adrian Agogino, 2009 .

Dirichlet-Multinomial Counterfactual Rewards for Heterogeneous Multiagent Systems

Kagan Tumer, Gaurav Dixit, Nicholas Zerbel, 2019, 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

A mutual information based ensemble method to estimate Bayes error

Kagan Tumer, Joydeep Ghosh, Kurt D. Bollacker, 1998 .

Coordinating Secondary-User Behaviors for Inelastic Traffic Reward Maximization in Large-Scale \osa Networks

Bechir Hamdaoui, Kagan Tumer, Ammar Rayes, 2012, IEEE Transactions on Network and Service Management.

Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks

Kagan Tumer, Rebecca R. Richards-Kortum, Joydeep Ghosh, 1996, NIPS.

Fitness function shaping in multiagent cooperative coevolutionary algorithms

Kagan Tumer, Mitchell K. Colby, Kagan Tumer, 2017, Autonomous Agents and Multi-Agent Systems.

Optimization of Sensor∕Neuro-Controller Pairings for Effective Navigation

Kagan Tumer, Matt Knudson, Jaime Junell, 2008 .

Memory-Based Multiagent One-Shot Learning: Extended Abstract

Kagan Tumer, Shauharda Khadka, Connor Yates, 2019, 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Team formation and communication restrictions in collectives

Kagan Tumer, Adrian K. Agogino, 2003, AAMAS '03.

A Scalable and Robust Multi-Agent Approach to Distributed Optimization

Kagan Tumer, Kagan Tumer, 2005 .

Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning

Kagan Tumer, Logan Michael Yliniemi, Kagan Tumer, 2014, SEAL.

The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1

Kagan Tumer, Liz Sonenberg, Pinar Yolum, 2011, AAMAS 2011.

Counterfactual Exploration for Improving Multiagent Learning

Kagan Tumer, Mitchell K. Colby, Chris HolmesParker, 2015, AAMAS.

Multiagent Learning with a Noisy Global Reward Signal

Kagan Tumer, Scott Proper, 2013, AAAI.

Coordinating actions in congestion games: impact of top–down and bottom–up utilities

Kagan Tumer, Scott Proper, Kagan Tumer, 2012, Autonomous Agents and Multi-Agent Systems.

Classifier Combining: Analytical Results and Implications

Kagan Tumer, Joydeep Ghosh, Kagan Tumer, 1995 .

Multi-agent reward analysis for learning in noisy domains

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005, AAMAS '05.

MAEDyS: multiagent evolution via dynamic skill selection

Enna Sachdeva, Kagan Tumer, Shauharda Khadka, 2021, GECCO.

Adaptive multi-fitness learning for robust coordination

Kagan Tumer, Connor Yates, Ayhan Alp Aydeniz, 2021, GECCO Companion.

Heterogeneous agent coordination via adaptive quality diversity and specialization

Kagan Tumer, Charles Koll, Gaurav Dixit, 2021, GECCO Companion.

Dynamic Skill Selection for Learning Joint Actions

Enna Sachdeva, Kagan Tumer, Shauharda Khadka, 2021, AAMAS.

Ad hoc teaming through evolution

Kagan Tumer, Joshua Cook, 2021, GECCO Companion.

Reactive Multi-Fitness Learning for Robust Multiagent Teaming

Kagan Tumer, Connor Yates, Ayhan Alp Aydeniz, 2021, 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Decreasing Communication Requirements for Agent Specific Rewards in Multiagent Learning

Atil Iscen, Kagan Tumer, Chris HolmesParker, 2011 .

Quicker Q-Learning in Multi-Agent Systems

Kagan Tumer, Adrian K. Agogino, A. Agogino, 2005 .

Order Statistics Combiners for Neural Classifiers 1

Kagan Tumer, Joydeep GhoshDepartment, 1995 .