Sequence Recognition by Input Anticipation. - Kagan Tumer; Joydeep Ghosh (IEA/AIE, 1994)

Designing genetic algorithms for the state assignment problem. - José Nelson Amaral; Kagan Tumer; Joydeep Ghosh (IEEE Trans. Syst. Man Cybern., 1995)

Estimating the Bayes error rate through classifier combining. - Kagan Tumer; Joydeep Ghosh (ICPR, 1996)

Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. - Kagan Tumer; Nirmala Ramanujam; Rebecca R. Richards-Kortum; Joydeep Ghosh (NIPS, 1996)

Error Correlation and Error Reduction in Ensemble Classifiers. - Kagan Tumer; Joydeep Ghosh (Connect. Sci., 1996)

Analysis of decision boundaries in linearly combined neural classifiers. - Kagan Tumer; Joydeep Ghosh (Pattern Recognit., 1996)

Using Collective Intelligence to Route Internet Traffic. - David H. Wolpert; Kagan Tumer; Jeremy Frank (NIPS, 1998)

Ensembles of radial basis function networks for spectroscopic detection of cervical precancer. - Kagan Tumer; Nirmala Ramanujam; Joydeep Ghosh; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 1998)

General Principles of Learning-Based Multi-Agent Systems. - David H. Wolpert; Kevin R. Wheeler; Kagan Tumer (Agents, 1999)

Avoiding Braess' Paradox through Collective Intelligence - Kagan Tumer; David H. Wolpert (CoRR, 1999)

Collective Intelligence for Control of Distributed Dynamical Systems - David H. Wolpert; Kevin R. Wheeler; Kagan Tumer (CoRR, 1999)

An Introduction to Collective Intelligence - David H. Wolpert; Kagan Tumer (CoRR, 1999)

Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer - Kagan Tumer; Nirmala Ramanujam; Joydeep Ghosh; Rebecca R. Richards-Kortum (CoRR, 1999)

Linear and Order Statistics Combiners for Pattern Classification - Kagan Tumer; Joydeep Ghosh (CoRR, 1999)

Collective Intelligence and Braess' Paradox. - Kagan Tumer; David H. Wolpert (AAAI/IAAI, 2000)

Adaptivity in agent-based routing for data networks. - David H. Wolpert; Sergey Kirshner; Christopher J. Merz; Kagan Tumer (Agents, 2000)

Reinforcement Learning in Distributed Domains: Beyond Team Games. - David H. Wolpert; Joseph Sill; Kagan Tumer (IJCAI, 2001)

Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. - Nikunj C. Oza; Kagan Tumer (Multiple Classifier Systems, 2001)

Optimal Payoff Functions for Members of Collectives. - David H. Wolpert; Kagan Tumer (Adv. Complex Syst., 2001)

Learning sequences of actions in collectives of autonomous agents. - Kagan Tumer; Adrian K. Agogino; David H. Wolpert (AAMAS, 2002)

The 2002 AAAI Spring Symposium Series. - Jussi Karlgren; Pentti Kanerva; Björn Gambäck; Kenneth D. Forbus; Kagan Tumer; Peter Stone 001; Kai Goebel; Gaurav S. Sukhatme; Tucker R. Balch; Bernd Fischer 002; Doug Smith; Sanda M. Harabagiu; et al. (AI Mag., 2002)

Collective Intelligence, Data Routing and Braess' Paradox. - David H. Wolpert; Kagan Tumer (J. Artif. Intell. Res., 2002)

Robust Combining of Disparate Classifiers through Order Statistics. - Kagan Tumer; Joydeep Ghosh (Pattern Anal. Appl., 2002)

Team formation and communication restrictions in collectives. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2003)

Providing Effective Access to Shared Resources: A COIN Approach. - Stéphane Airiau; Sandip Sen; David H. Wolpert; Kagan Tumer (Engineering Self-Organising Systems, 2003)

Collectives for multiple resource job scheduling across heterogeneous servers. - Kagan Tumer; John W. Lawson (AAMAS, 2003)

Classification of Aircraft Maneuvers for Fault Detection. - Nikunj C. Oza; Kagan Tumer; Irem Y. Tumer; Edward M. Huff (Multiple Classifier Systems, 2003)

Collectives for the Optimal Combination of Imperfect Objects - Kagan Tumer; David H. Wolpert (CoRR, 2003)

Improving Search Algorithms by Using Intelligent Coordinates - David H. Wolpert; Kagan Tumer; Esfandiar Bandari (CoRR, 2003)

Input decimated ensembles. - Kagan Tumer; Nikunj C. Oza (Pattern Anal. Appl., 2003)

Unifying Temporal and Structural Credit Assignment Problems. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2004)

Time-Extended Policies in Multi-Agent Reinforcement Learning. - Kagan Tumer; Adrian K. Agogino (AAMAS, 2004)

Efficient Evaluation Functions for Multi-rover Systems. - Adrian K. Agogino; Kagan Tumer (GECCO (1), 2004)

Overcoming communication restrictions in collectives. - Kagan Tumer; Adrian K. Agogino (IJCNN, 2004)

Multi-agent reward analysis for learning in noisy domains. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2005)

Efficient credit assignment through evaluation function decomposition. - Adrian K. Agogino; Kagan Tumer; Risto Miikkulainen (GECCO, 2005)

Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. - Kagan Tumer; Adrian K. Agogino (GECCO, 2005)

Efficient Reward Functions for Adaptive Multi-rover Systems. - Kagan Tumer; Adrian K. Agogino (LAMAS, 2005)

QUICR-Learning for Multi-Agent Coordination. - Adrian K. Agogino; Kagan Tumer (AAAI, 2006)

Efficient agent-based cluster ensembles. - Adrian K. Agogino; Kagan Tumer (AAMAS, 2006)

Efficient agent-based models for non-genomic evolution. - Nachi Gupta; Adrian K. Agogino; Kagan Tumer (AAMAS, 2006)

Coordinating simple and unreliable agents. - Kagan Tumer (AAMAS, 2006)

Distributed evaluation functions for fault tolerant multi-rover systems. - Adrian K. Agogino; Kagan Tumer (GECCO, 2006)

Handling Communication Restrictions and Team Formation in Congestion Games. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2006)

Distributed agent-based air traffic flow management. - Kagan Tumer; Adrian K. Agogino (AAMAS, 2007)

Evolving distributed agents for managing air traffic. - Adrian K. Agogino; Kagan Tumer (GECCO, 2007)

Evolving Multi Rover Systems in Dynamic and Noisy Environments. - Kagan Tumer; Adrian K. Agogino (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. - Kagan Tumer; Adrian K. Agogino (AAAI, 2008)

Regulating air traffic flow with coupled agents. - Adrian K. Agogino; Kagan Tumer (AAMAS (2), 2008)

Aligning social welfare and agent preferences to alleviate traffic congestion. - Kagan Tumer; Zachary T. Welch; Adrian K. Agogino (AAMAS (2), 2008)

Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2008)

Efficient Evaluation Functions for Evolving Coordination. - Adrian K. Agogino; Kagan Tumer (Evol. Comput., 2008)

Applications of ensemble methods. - Nikunj C. Oza; Kagan Tumer (Inf. Fusion, 2008)

Classifier ensembles: Select real-world applications. - Nikunj C. Oza; Kagan Tumer (Inf. Fusion, 2008)

Ensemble clustering with voting active clusters. - Kagan Tumer; Adrian K. Agogino (Pattern Recognit. Lett., 2008)

Traffic Congestion Management as a Learning Agent Coordination Problem. - Kagan Tumer; Zachary T. Welch; Adrian K. Agogino (Multi-Agent Systems for Traffic and Transportation Engineering, 2009)

Improving air traffic management through agent suggestions. - Adrian K. Agogino; Kagan Tumer (AAMAS (2), 2009)

Learning from actions not taken: a multiagent learning algorithm. - Newsha Khani; Kagan Tumer (AAMAS (2), 2009)

Coordinating Learning Agents for Multiple Resource Job Scheduling. - Kagan Tumer; John W. Lawson (ALA, 2009)

Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control. - Adrian K. Agogino; Kagan Tumer (Adv. Complex Syst., 2009)

Multiagent Learning for Black Box System Reward Functions. - Kagan Tumer; Adrian K. Agogino (Adv. Complex Syst., 2009)

Learning from Actions not Taken in Multiagent Systems. - Kagan Tumer; Newsha Khani (Adv. Complex Syst., 2009)

Improving Air Traffic Management with a Learning Multiagent System. - Kagan Tumer; Adrian K. Agogino (IEEE Intell. Syst., 2009)

Robot coordination with ad-hoc team formation. - Matt Knudson; Kagan Tumer (AAMAS, 2010)

Coevolution of heterogeneous multi-robot teams. - Matt Knudson; Kagan Tumer (GECCO, 2010)

A neuro-evolutionary approach to micro aerial vehicle control. - Max Salichon; Kagan Tumer (GECCO, 2010)

Robust neuro-control for a micro quadrotor. - Jack F. Shepherd III; Kagan Tumer (GECCO, 2010)

A Multiagent Coordination Approach to Robust Consensus Clustering. - Adrian K. Agogino; Kagan Tumer (Adv. Complex Syst., 2010)

Optimizing ballast design of wave energy converters using evolutionary algorithms. - Mitchell K. Colby; Ehsan M. Nasroullahi; Kagan Tumer (GECCO, 2011)

Agent fitness functions for evolving coordinated sensor networks. - Christian Roth; Matt Knudson; Kagan Tumer (GECCO, 2011)

Aligning Spectrum-User Objectives for Maximum Inelastic-Traffic Reward. - Bechir Hamdaoui; MohammadJavad NoroozOliaee; Kagan Tumer; Ammar Rayes (ICCCN, 2011)

Achieving optimal elastic traffic rewards in dynamic multichannel access. - MohammadJavad NoroozOliaee; Bechir Hamdaoui; Kagan Tumer (HPCS, 2011)

Adaptive navigation for autonomous robots. - Matt Knudson; Kagan Tumer (Robotics Auton. Syst., 2011)

Shaping fitness functions for coevolving cooperative multiagent systems. - Mitchell K. Colby; Kagan Tumer (AAMAS, 2012)

Modeling difference rewards for multiagent learning. - Scott Proper; Kagan Tumer (AAMAS, 2012)

Evolving distributed resource sharing for cubesat constellations. - Adrian K. Agogino; Chris HolmesParker; Kagan Tumer (GECCO, 2012)

Evolving large scale UAV communication system. - Adrian K. Agogino; Chris HolmesParker; Kagan Tumer (GECCO, 2012)

Policy transfer in mobile robots using neuro-evolutionary navigation. - Matt Knudson; Kagan Tumer (GECCO (Companion), 2012)

A multiagent approach to managing air traffic flow. - Adrian K. Agogino; Kagan Tumer (Auton. Agents Multi Agent Syst., 2012)

Ten Years of AAMAS: Introduction to the Special Issue. - Liz Sonenberg; Peter Stone 001; Kagan Tumer; Pinar Yolum (AI Mag., 2012)

Combining coordination mechanisms to improve performance in multi-robot teams. - Ehsan M. Nasroullahi; Kagan Tumer (Artif. Intell. Res., 2012)

Coordinating Secondary-User Behaviors for Inelastic Traffic Reward Maximization in Large-Scale osa Networks. - Bechir Hamdaoui; MohammadJavad NoroozOliaee; Kagan Tumer; Ammar Rayes (IEEE Trans. Netw. Serv. Manag., 2012)

Evolving a Multiagent Controller for Micro Aerial Vehicles. - Max Salichon; Kagan Tumer (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Multiagent Learning with a Noisy Global Reward Signal. - Scott Proper; Kagan Tumer (AAAI, 2013)

Elo Ratings for Structural Credit Assignment in Multiagent Systems. - Logan Michael Yliniemi; Kagan Tumer (AAAI (Late-Breaking Developments), 2013)

Multiagent reinforcement learning in a distributed sensor network with indirect feedback. - Mitchell K. Colby; Kagan Tumer (AAMAS, 2013)

Addressing hard constraints in the air traffic problem through partitioning and difference rewards. - William J. Curran; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

CLEAN rewards for improving multiagent coordination in the presence of exploration. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (AAMAS, 2013)

Learning to control complex tensegrity robots. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (AAMAS, 2013)

Decentralized coordination via task decomposition and reward shaping. - Atil Iscen; Kagan Tumer (AAMAS, 2013)

Graphical models in continuous domains for multiagent reinforcement learning. - Scott Proper; Kagan Tumer (AAMAS, 2013)

Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. - William J. Curran; Adrian K. Agogino; Kagan Tumer (GECCO (Companion), 2013)

Controlling tensegrity robots through evolution. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (GECCO, 2013)

Coordinating actions in congestion games: impact of top-down and bottom-up utilities. - Kagan Tumer; Scott Proper (Auton. Agents Multi Agent Syst., 2013)

Dynamic Partnership Formation for Multi-Rover Coordination. - Matt Knudson; Kagan Tumer (Adv. Complex Syst., 2013)

Robust predictive cruise control for commercial vehicles. - Jaime Junell; Kagan Tumer (Int. J. Gen. Syst., 2013)

A neuro-evolutionary approach to control surface segmentation for micro aerial vehicles. - Max Salichon; Kagan Tumer (Int. J. Gen. Syst., 2013)

Efficient Objective Functions for Coordinated Learning in Large-Scale Distributed OSA Systems. - MohammadJavad NoroozOliaee; Bechir Hamdaoui; Kagan Tumer (IEEE Trans. Mob. Comput., 2013)

Multiagent Flight Control in Dynamic Environments with Cooperative Coevolutionary Algorithms. - Mitchell K. Colby; Matt Knudson; Kagan Tumer (AAAI Spring Symposia, 2014)

Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace. - Carrie Rebhuhn; Matt Knudson; Kagan Tumer (AAAI Spring Symposia, 2014)

Approximating difference evaluations with local knowledge. - Mitchell K. Colby; William J. Curran; Carrie Rebhuhn; Kagan Tumer (AAMAS, 2014)

Using reward/utility based impact scores in partitioning. - William J. Curran; Adrian K. Agogino; Kagan Tumer (AAMAS, 2014)

Potential-based difference rewards for multiagent reinforcement learning. - Sam Devlin; Logan Michael Yliniemi; Daniel Kudenko; Kagan Tumer (AAMAS, 2014)

CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract). - Chris HolmesParker; Matthew E. Taylor; Adrian K. Agogino; Kagan Tumer (AAMAS, 2014)

Hierarchical simulation for complex domains: air traffic flow management. - William J. Curran; Adrian K. Agogino; Kagan Tumer (GECCO, 2014)

Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (GECCO, 2014)

Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. - Atil Iscen; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (IROS, 2014)

PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. - Logan Michael Yliniemi; Kagan Tumer (SEAL, 2014)

Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. - Logan Michael Yliniemi; Kagan Tumer (SEAL, 2014)

CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. - Chris HolmesParker; Matthew E. Taylor; Adrian K. Agogino; Kagan Tumer (WI-IAT (3), 2014)

Multirobot Coordination for Space Exploration. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (AI Mag., 2014)

Approximating Difference Evaluations with Local Information. - Mitchell K. Colby; William J. Curran; Kagan Tumer (AAMAS, 2015)

Counterfactual Exploration for Improving Multiagent Learning. - Mitchell K. Colby; Sepideh Kharaghani; Chris HolmesParker; Kagan Tumer (AAMAS, 2015)

A Replicator Dynamics Analysis of Difference Evaluation Functions. - Mitchell K. Colby; Kagan Tumer (AAMAS, 2015)

Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations. - Logan Michael Yliniemi; Drew Wilson; Kagan Tumer (AAMAS, 2015)

An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions. - Mitchell K. Colby; Kagan Tumer (GECCO, 2015)

Learning Based Control of a Fuel Cell Turbine Hybrid Power System. - Andrew Gabler; Mitchell K. Colby; Kagan Tumer (GECCO (Companion), 2015)

Complete Multi-Objective Coverage with PaCcET. - Logan Michael Yliniemi; Kagan Tumer (GECCO (Companion), 2015)

Implicit adaptive multi-robot coordination in dynamic environments. - Mitchell K. Colby; Jen Jen Chung; Kagan Tumer (IROS, 2015)

Learning to trick cost-based planners into cooperative behavior. - Carrie Rebhuhn; Ryan Skeele; Jen Jen Chung; Geoffrey A. Hollinger; Kagan Tumer (IROS, 2015)

Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. - Atil Iscen; Ken Caluwaerts; Jonathan Bruce; Adrian K. Agogino; Vytas SunSpiral; Kagan Tumer (Artif. Life, 2015)

Simulation of the introduction of new technologies in air traffic management. - Logan Michael Yliniemi; Adrian K. Agogino; Kagan Tumer (Connect. Sci., 2015)

Local Approximation of Difference Evaluation Functions. - Mitchell K. Colby; Theodore Duchow-Pressley; Jen Jen Chung; Kagan Tumer (AAMAS, 2016)

Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents. - Logan Michael Yliniemi; Kagan Tumer (AAMAS Workshops (Visionary Papers), 2016)

Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System. - Mitchell K. Colby; Logan Michael Yliniemi; Paolo Pezzini; David Tucker; Kenneth Mark Bryden; Kagan Tumer (GECCO, 2016)

Neuroevolution of a Hybrid Power Plant Simulator. - Shauharda Khadka; Kagan Tumer; Mitchell K. Colby; Dave Tucker; Paolo Pezzini; Kenneth Mark Bryden (GECCO, 2016)

D++: Structural credit assignment in tightly coupled multiagent domains. - Aida Rahmattalabi; Jen Jen Chung; Mitchell K. Colby; Kagan Tumer (IROS, 2016)

Autonomous Multiagent Space Exploration with High-Level Human Feedback. - Mitchell K. Colby; Logan Michael Yliniemi; Kagan Tumer (J. Aerosp. Inf. Syst., 2016)

Combining reward shaping and hierarchies for scaling to large multiagent systems. - Chris HolmesParker; Adrian K. Agogino; Kagan Tumer (Knowl. Eng. Rev., 2016)

Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II. - Logan Michael Yliniemi; Kagan Tumer (Soft Comput., 2016)

Evolving memory-augmented neural architecture for deep memory problems. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (GECCO, 2017)

Memory-augmented multi-robot teams that learn to adapt. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (MRS, 2017)

Soft snake robots: Mechanical design and geometric gait implementation. - Callie Branyan; Chloe Fleming; Jacquelin Remaley; Ammar Kothari; Kagan Tumer; Ross L. Hatton; Yigit Mengüç (ROBIO, 2017)

Fitness function shaping in multiagent cooperative coevolutionary algorithms. - Mitchell K. Colby; Kagan Tumer (Auton. Agents Multi Agent Syst., 2017)

When Less is More: Reducing Agent Noise with Probabilistically Learning Agents. - Jen Jen Chung; Scott Chow; Kagan Tumer (AAMAS, 2018)

A Memory-based Multiagent Framework for Adaptive Decision Making. - Shauharda Khadka; Connor Yates; Kagan Tumer (AAMAS, 2018)

Evolution-Guided Policy Gradient in Reinforcement Learning. - Shauharda Khadka; Kagan Tumer (NeurIPS, 2018)

Evolutionary Reinforcement Learning. - Shauharda Khadka; Kagan Tumer (CoRR, 2018)

Design of Complex Engineered Systems Using Multi-Agent Coordination. - Nicolás F. Soria Zurita; Mitchell K. Colby; Irem Y. Tumer; Christopher Hoyle; Kagan Tumer (J. Comput. Inf. Sci. Eng., 2018)

The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. - Jen Jen Chung; Damjan Miklic; Lorenzo Sabattini; Kagan Tumer; Roland Siegwart (AAMAS, 2019)

Memory based Multiagent One Shot Learning. - Shauharda Khadka; Connor Yates; Kagan Tumer (AAMAS, 2019)

Curriculum Learning for Tightly Coupled Multiagent Systems. - Golden Rockefeller; Patrick Mannion; Kagan Tumer (AAMAS, 2019)

Collaborative Evolutionary Reinforcement Learning. - Shauharda Khadka; Somdeb Majumdar; Tarek Nassar; Zach Dwiel; Evren Tumer; Santiago Miret; Yinyin Liu; Kagan Tumer (ICML, 2019)

Dirichlet-Multinomial Counterfactual Rewards for Heterogeneous Multiagent Systems. - Gaurav Dixit; Nicholas Zerbel; Kagan Tumer (MRS, 2019)

Memory-Based Multiagent One-Shot Learning: Extended Abstract. - Shauharda Khadka; Connor Yates; Kagan Tumer (MRS, 2019)

Fitness Critics for Multiagent Learning: Extended Abstract. - Golden Rockefeller; Patrick Mannion; Kagan Tumer (MRS, 2019)

Modeling multidisciplinary design with multiagent learning. - Daniel E. Hulse; Kagan Tumer; Christopher Hoyle; Irem Y. Tumer (Artif. Intell. Eng. Des. Anal. Manuf., 2019)

A multiagent framework for learning dynamic traffic management strategies. - Jen Jen Chung; Carrie Rebhuhn; Connor Yates; Geoffrey A. Hollinger; Kagan Tumer (Auton. Robots, 2019)

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. - Shauharda Khadka; Somdeb Majumdar; Kagan Tumer (CoRR, 2019)

Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. - Shauharda Khadka; Jen Jen Chung; Kagan Tumer (Evol. Comput., 2019)

Gaussian Processes as Multiagent Reward Models. - Gaurav Dixit; Stéphane Airiau; Kagan Tumer (AAMAS, 2020)

Multi-level Fitness Critics for Cooperative Coevolution. - Golden Rockefeller; Shauharda Khadka; Kagan Tumer (AAMAS, 2020)

The Power of Suggestion. - Nicholas Zerbel; Kagan Tumer (AAMAS, 2020)

Multi-fitness learning for behavior-driven cooperation. - Connor Yates; Reid Christopher; Kagan Tumer (GECCO, 2020)

Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. - Somdeb Majumdar; Shauharda Khadka; Santiago Miret; Stephen McAleer; Kagan Tumer (ICML, 2020)

The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. - Jen Jen Chung; Damjan Miklic; Lorenzo Sabattini; Kagan Tumer; Roland Siegwart (Auton. Agents Multi Agent Syst., 2020)

Dynamic Skill Selection for Learning Joint Actions. - Enna Sachdeva; Shauharda Khadka; Somdeb Majumdar; Kagan Tumer (AAMAS, 2021)

Ad hoc teaming through evolution. - Joshua Cook; Kagan Tumer (GECCO Companion, 2021)

Heterogeneous agent coordination via adaptive quality diversity and specialization. - Gaurav Dixit; Charles Koll; Kagan Tumer (GECCO Companion, 2021)

MAEDyS: multiagent evolution via dynamic skill selection. - Enna Sachdeva; Shauharda Khadka; Somdeb Majumdar; Kagan Tumer (GECCO, 2021)

Adaptive multi-fitness learning for robust coordination. - Connor Yates; Ayhan Alp Aydeniz; Kagan Tumer (GECCO Companion, 2021)

Reactive Multi-Fitness Learning for Robust Multiagent Teaming. - Connor Yates; Ayhan Alp Aydeniz; Kagan Tumer (MRS, 2021)

Behavior Exploration and Team Balancing for Heterogeneous Multiagent Coordination. - Gaurav Dixit; Kagan Tumer (AAMAS, 2022)

Entropy-based local fitnesses for evolutionary multiagent systems. - Ayhan Alp Aydeniz; Anna Nickelson; Kagan Tumer (GECCO Companion, 2022)

Fitness shaping for multiple teams. - Joshua Cook; Kagan Tumer (GECCO, 2022)

Diversifying behaviors for learning in asymmetric multiagent systems. - Gaurav Dixit; Everardo Gonzalez; Kagan Tumer (GECCO, 2022)

Balancing teams with quality-diversity for heterogeneous multiagent coordination. - Gaurav Dixit; Kagan Tumer (GECCO Companion, 2022)

Bootstrapped fitness critics with bidirectional temporal difference. - Golden Rockefeller; Kagan Tumer (GECCO Companion, 2022)

Multi-Team Fitness Critics For Robust Teaming. - Joshua Cook; Tristan Scheiner; Kagan Tumer (AAMAS, 2023)

Learning Inter-Agent Synergies in Asymmetric Multiagent Systems. - Gaurav Dixit; Kagan Tumer (AAMAS, 2023)

Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. - Nicholas Zerbel; Kagan Tumer (ECAI, 2023)

Novelty Seeking Multiagent Evolutionary Reinforcement Learning. - Ayhan Alp Aydeniz; Robert Tyler Loftin; Kagan Tumer (GECCO, 2023)

Leveraging Fitness Critics To Learn Robust Teamwork. - Joshua Cook; Kagan Tumer; Tristan Scheiner (GECCO, 2023)

Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. - Gaurav Dixit; Kagan Tumer (GECCO, 2023)

Knowledge Shaped Behavior Generation for Online Adaptation. - Connor Yates; Kagan Tumer (GECCO Companion, 2023)

Contextual Multi-Objective Path Planning. - Anna Nickelson; Kagan Tumer; William D. Smart (ICRA, 2023)

Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites. - Anna Nickelson; Nicholas Zerbel; Gaurav Dixit; Kagan Tumer (IJCCI, 2023)

Entropy Maximization in High Dimensional Multiagent State Spaces. - Ayhan Alp Aydeniz; Enrico Marchesini; Robert Tyler Loftin; Kagan Tumer (MRS, 2023)

Entropy Seeking Constrained Multiagent Reinforcement Learning. - Ayhan Alp Aydeniz; Enrico Marchesini; Christopher Amato; Kagan Tumer (AAMAS, 2024)

Influence-Focused Asymmetric Island Model. - Andrew Festa; Gaurav Dixit; Kagan Tumer (AAMAS, 2024)

Indirect Credit Assignment in a Multiagent System. - Everardo Gonzalez; Siddarth Viswanathan; Kagan Tumer (AAMAS, 2024)

Objective-Informed Diversity for Multi-Objective Multiagent Coordination. - Gaurav Dixit; Kagan Tumer (ECAI, 2024)

Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. - Joshua Cook; Kagan Tumer (GECCO, 2024)

Multidimensional Archive Of The State Space. - Joshua Cook; Kagan Tumer (GECCO Companion, 2024)

Informed Diversity Search for Learning in Asymmetric Multiagent Systems. - Gaurav Dixit; Kagan Tumer (GECCO, 2024)

Reinforcing Inter-Class Dependencies in the Asymmetric Island Model. - Andrew Festa; Gaurav Dixit; Kagan Tumer (GECCO, 2024)

Influence Based Fitness Shaping for Coevolutionary Agents. - Everardo Gonzalez; Siddarth Viswanathan; Kagan Tumer (GECCO, 2024)

Redefining the Behavior Space for Multi-Objective MAP-Elites. - Anna Nickelson; Kagan Tumer (GECCO Companion, 2024)

Safe Multiagent Coordination via Entropic Exploration. - Ayhan Alp Aydeniz; Enrico Marchesini; Robert Tyler Loftin; Christopher Amato; Kagan Tumer (CoRR, 2024)

Dynamic Influence For Coevolutionary Agents. - Everardo Gonzalez; Gaurav Dixit; Kagan Tumer (GECCO, 2025)

Multiagent Credit Assignment for Multi-Objective Coordination. - Raghav Thakar; Gaurav Dixit; Siddarth Iyer; Kagan Tumer (GECCO, 2025)

Safe Entropic Agents under Team Constraints. - Ayhan Alp Aydeniz; Enrico Marchesini; Robert Loftin; Christopher Amato; Kagan Tumer (AAMAS, 2025)