| 2025 | ECAI | Multiagent Quality-Diversity for Effective Adaptation. | Siddarth Iyer, Ayhan Alp Aydeniz, Gaurav Dixit, Kagan Tumer |
| 2025 | GECCO | Dynamic Influence For Coevolutionary Agents. | Everardo Gonzalez, Gaurav Dixit, Kagan Tumer |
| 2025 | GECCO | Indirect Credit Without A Heuristic For Coevolving Agents. | Everardo Gonzalez, Raghav Thakar, Kagan Tumer |
| 2025 | GECCO | Multiagent Credit Assignment for Multi-Objective Coordination. | Raghav Thakar, Gaurav Dixit, Siddarth Iyer, Kagan Tumer |
| 2025 | GECCO | The Specificity vs. Expense Trade-Off of Multiagent Credit. | Raghav Thakar, Kagan Tumer |
| 2024 | ECAI | Objective-Informed Diversity for Multi-Objective Multiagent Coordination. | Gaurav Dixit, Kagan Tumer |
| 2024 | GECCO | Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. | Joshua Cook, Kagan Tumer |
| 2024 | GECCO | Multidimensional Archive Of The State Space. | Joshua Cook, Kagan Tumer |
| 2024 | GECCO | Informed Diversity Search for Learning in Asymmetric Multiagent Systems. | Gaurav Dixit, Kagan Tumer |
| 2024 | GECCO | Reinforcing Inter-Class Dependencies in the Asymmetric Island Model. | Andrew Festa, Gaurav Dixit, Kagan Tumer |
| 2024 | GECCO | Influence Based Fitness Shaping for Coevolutionary Agents. | Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer |
| 2024 | GECCO | Redefining the Behavior Space for Multi-Objective MAP-Elites. | Anna Nickelson, Kagan Tumer |
| 2023 | ECAI | Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. | Nicholas Zerbel, Kagan Tumer |
| 2023 | GECCO | Novelty Seeking Multiagent Evolutionary Reinforcement Learning. | Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer |
| 2023 | GECCO | Leveraging Fitness Critics To Learn Robust Teamwork. | Joshua Cook, Kagan Tumer, Tristan Scheiner |
| 2023 | GECCO | Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. | Gaurav Dixit, Kagan Tumer |
| 2023 | GECCO | Knowledge Shaped Behavior Generation for Online Adaptation. | Connor Yates, Kagan Tumer |
| 2023 | IJCCI | Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites. | Anna Nickelson, Nicholas Zerbel, Gaurav Dixit, Kagan Tumer |
| 2023 | ICRA | Contextual Multi-Objective Path Planning. | Anna Nickelson, Kagan Tumer, William D. Smart |
| 2022 | GECCO | Entropy-based local fitnesses for evolutionary multiagent systems. | Ayhan Alp Aydeniz, Anna Nickelson, Kagan Tumer |
| 2022 | GECCO | Fitness shaping for multiple teams. | Joshua Cook, Kagan Tumer |
| 2022 | GECCO | Diversifying behaviors for learning in asymmetric multiagent systems. | Gaurav Dixit, Everardo Gonzalez, Kagan Tumer |
| 2022 | GECCO | Balancing teams with quality-diversity for heterogeneous multiagent coordination. | Gaurav Dixit, Kagan Tumer |
| 2022 | GECCO | Bootstrapped fitness critics with bidirectional temporal difference. | Golden Rockefeller, Kagan Tumer |
| 2021 | GECCO | Ad hoc teaming through evolution. | Joshua Cook, Kagan Tumer |
| 2021 | GECCO | Heterogeneous agent coordination via adaptive quality diversity and specialization. | Gaurav Dixit, Charles Koll, Kagan Tumer |
| 2021 | GECCO | MAEDyS: multiagent evolution via dynamic skill selection. | Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer |
| 2021 | GECCO | Adaptive multi-fitness learning for robust coordination. | Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer |
| 2020 | GECCO | Multi-fitness learning for behavior-driven cooperation. | Connor Yates, Reid Christopher, Kagan Tumer |
| 2020 | ICML | Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. | Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer |
| 2019 | ICML | Collaborative Evolutionary Reinforcement Learning. | Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer |
| 2017 | GECCO | Evolving memory-augmented neural architecture for deep memory problems. | Shauharda Khadka, Jen Jen Chung, Kagan Tumer |
| 2016 | GECCO | 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 |
| 2016 | GECCO | Neuroevolution of a Hybrid Power Plant Simulator. | Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden |
| 2016 | IROS | D++: Structural credit assignment in tightly coupled multiagent domains. | Aida Rahmattalabi, Jen Jen Chung, Mitchell K. Colby, Kagan Tumer |
| 2015 | GECCO | An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions. | Mitchell K. Colby, Kagan Tumer |
| 2015 | GECCO | Learning Based Control of a Fuel Cell Turbine Hybrid Power System. | Andrew Gabler, Mitchell K. Colby, Kagan Tumer |
| 2015 | GECCO | Complete Multi-Objective Coverage with PaCcET. | Logan Michael Yliniemi, Kagan Tumer |
| 2015 | IROS | Implicit adaptive multi-robot coordination in dynamic environments. | Mitchell K. Colby, Jen Jen Chung, Kagan Tumer |
| 2015 | IROS | Learning to trick cost-based planners into cooperative behavior. | Carrie Rebhuhn, Ryan Skeele, Jen Jen Chung, Geoffrey A. Hollinger, Kagan Tumer |
| 2014 | GECCO | Hierarchical simulation for complex domains: air traffic flow management. | William J. Curran, Adrian K. Agogino, Kagan Tumer |
| 2014 | GECCO | Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. | Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer |
| 2014 | IROS | Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. | Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer |
| 2013 | AAAI | Multiagent Learning with a Noisy Global Reward Signal. | Scott Proper, Kagan Tumer |
| 2013 | AAAI | Elo Ratings for Structural Credit Assignment in Multiagent Systems. | Logan Michael Yliniemi, Kagan Tumer |
| 2013 | GECCO | Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. | William J. Curran, Adrian K. Agogino, Kagan Tumer |
| 2013 | GECCO | Controlling tensegrity robots through evolution. | Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer |
| 2012 | AAMAS | Shaping fitness functions for coevolving cooperative multiagent systems. | Mitchell K. Colby, Kagan Tumer |
| 2012 | AAMAS | Modeling difference rewards for multiagent learning. | Scott Proper, Kagan Tumer |
| 2012 | GECCO | Evolving distributed resource sharing for cubesat constellations. | Adrian K. Agogino, Chris HolmesParker, Kagan Tumer |
| 2012 | GECCO | Evolving large scale UAV communication system. | Adrian K. Agogino, Chris HolmesParker, Kagan Tumer |
| 2012 | GECCO | Policy transfer in mobile robots using neuro-evolutionary navigation. | Matt Knudson, Kagan Tumer |
| 2011 | GECCO | Optimizing ballast design of wave energy converters using evolutionary algorithms. | Mitchell K. Colby, Ehsan M. Nasroullahi, Kagan Tumer |
| 2011 | GECCO | Agent fitness functions for evolving coordinated sensor networks. | Christian Roth, Matt Knudson, Kagan Tumer |
| 2011 | ICCCN | Aligning Spectrum-User Objectives for Maximum Inelastic-Traffic Reward. | Bechir Hamdaoui, MohammadJavad NoroozOliaee, Kagan Tumer, Ammar Rayes |
| 2010 | GECCO | Coevolution of heterogeneous multi-robot teams. | Matt Knudson, Kagan Tumer |
| 2010 | GECCO | A neuro-evolutionary approach to micro aerial vehicle control. | Max Salichon, Kagan Tumer |
| 2010 | GECCO | Robust neuro-control for a micro quadrotor. | Jack F. Shepherd III, Kagan Tumer |
| 2008 | AAAI | Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. | Kagan Tumer, Adrian K. Agogino |
| 2007 | GECCO | Evolving distributed agents for managing air traffic. | Adrian K. Agogino, Kagan Tumer |
| 2006 | AAAI | QUICR-Learning for Multi-Agent Coordination. | Adrian K. Agogino, Kagan Tumer |
| 2006 | GECCO | Distributed evaluation functions for fault tolerant multi-rover systems. | Adrian K. Agogino, Kagan Tumer |
| 2005 | GECCO | Efficient credit assignment through evaluation function decomposition. | Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen |
| 2005 | GECCO | Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. | Kagan Tumer, Adrian K. Agogino |
| 2004 | GECCO | Efficient Evaluation Functions for Multi-rover Systems. | Adrian K. Agogino, Kagan Tumer |
| 2004 | IJCNN | Overcoming communication restrictions in collectives. | Kagan Tumer, Adrian K. Agogino |
| 2001 | IJCAI | Reinforcement Learning in Distributed Domains: Beyond Team Games. | David H. Wolpert, Joseph Sill, Kagan Tumer |
| 2000 | AAAI | Collective Intelligence and Braess' Paradox. | Kagan Tumer, David H. Wolpert |
| 1996 | ICPR | Estimating the Bayes error rate through classifier combining. | Kagan Tumer, Joydeep Ghosh |