Kagan Tumer - RankMe

206 papers A* 8A 84B 3C 2Journal 62Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counterfactual Conditional Likelihood Rewards for Multiagent Exploration. CoRR Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer
2026	J	`jnl`	Post Hoc Extraction of Pareto Fronts for Continuous Control. CoRR Raghav Thakar, Gaurav Dixit, Kagan Tumer
2025	A	`conf`	Dynamic Influence For Coevolutionary Agents. GECCO Everardo Gonzalez, Gaurav Dixit, Kagan Tumer
2025	—	`conf`	Indirect Credit Without A Heuristic For Coevolving Agents. GECCO Companion Everardo Gonzalez, Raghav Thakar, Kagan Tumer
2025	J	`jnl`	Multi-objective reinforcement learning framework for beneficent artificial intelligence. Neural Comput. Appl. Anna Nickelson, Russell Perkins, Alex John London, Paul Robinette, Kagan Tumer
2025	A	`conf`	Multiagent Credit Assignment for Multi-Objective Coordination. GECCO Raghav Thakar, Gaurav Dixit, Siddarth Iyer, Kagan Tumer
2025	A	`conf`	Multiagent Quality-Diversity for Effective Adaptation. ECAI Siddarth Iyer, Ayhan Alp Aydeniz, Gaurav Dixit, Kagan Tumer
2025	A	`conf`	Safe Entropic Agents under Team Constraints. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2025	—	`conf`	The Specificity vs. Expense Trade-Off of Multiagent Credit. GECCO Companion Raghav Thakar, Kagan Tumer
2024	A	`conf`	Entropy Seeking Constrained Multiagent Reinforcement Learning. AAMAS Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer
2024	A	`conf`	Indirect Credit Assignment in a Multiagent System. AAMAS Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer
2024	A	`conf`	Influence Based Fitness Shaping for Coevolutionary Agents. GECCO Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer
2024	A	`conf`	Influence-Focused Asymmetric Island Model. AAMAS Andrew Festa, Gaurav Dixit, Kagan Tumer
2024	A	`conf`	Informed Diversity Search for Learning in Asymmetric Multiagent Systems. GECCO Gaurav Dixit, Kagan Tumer
2024	A	`conf`	Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. GECCO Joshua Cook, Kagan Tumer
2024	—	`conf`	Multidimensional Archive Of The State Space. GECCO Companion Joshua Cook, Kagan Tumer
2024	A	`conf`	Objective-Informed Diversity for Multi-Objective Multiagent Coordination. ECAI Gaurav Dixit, Kagan Tumer
2024	—	`conf`	Redefining the Behavior Space for Multi-Objective MAP-Elites. GECCO Companion Anna Nickelson, Kagan Tumer
2024	A	`conf`	Reinforcing Inter-Class Dependencies in the Asymmetric Island Model. GECCO Andrew Festa, Gaurav Dixit, Kagan Tumer
2024	J	`jnl`	Safe Multiagent Coordination via Entropic Exploration. CoRR Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Christopher Amato, Kagan Tumer
2023	A*	`conf`	Contextual Multi-Objective Path Planning. ICRA Anna Nickelson, Kagan Tumer, William D. Smart
2023	—	`conf`	Entropy Maximization in High Dimensional Multiagent State Spaces. MRS Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer
2023	A	`conf`	Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. ECAI Nicholas Zerbel, Kagan Tumer
2023	—	`conf`	Knowledge Shaped Behavior Generation for Online Adaptation. GECCO Companion Connor Yates, Kagan Tumer
2023	A	`conf`	Learning Inter-Agent Synergies in Asymmetric Multiagent Systems. AAMAS Gaurav Dixit, Kagan Tumer
2023	A	`conf`	Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. GECCO Gaurav Dixit, Kagan Tumer
2023	A	`conf`	Leveraging Fitness Critics To Learn Robust Teamwork. GECCO Joshua Cook, Kagan Tumer, Tristan Scheiner
2023	A	`conf`	Multi-Team Fitness Critics For Robust Teaming. AAMAS Joshua Cook, Tristan Scheiner, Kagan Tumer
2023	A	`conf`	Novelty Seeking Multiagent Evolutionary Reinforcement Learning. GECCO Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer
2023	C	`conf`	Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites. IJCCI Anna Nickelson, Nicholas Zerbel, Gaurav Dixit, Kagan Tumer
2022	—	`conf`	Balancing teams with quality-diversity for heterogeneous multiagent coordination. GECCO Companion Gaurav Dixit, Kagan Tumer
2022	A	`conf`	Behavior Exploration and Team Balancing for Heterogeneous Multiagent Coordination. AAMAS Gaurav Dixit, Kagan Tumer
2022	—	`conf`	Bootstrapped fitness critics with bidirectional temporal difference. GECCO Companion Golden Rockefeller, Kagan Tumer
2022	A	`conf`	Diversifying behaviors for learning in asymmetric multiagent systems. GECCO Gaurav Dixit, Everardo Gonzalez, Kagan Tumer
2022	—	`conf`	Entropy-based local fitnesses for evolutionary multiagent systems. GECCO Companion Ayhan Alp Aydeniz, Anna Nickelson, Kagan Tumer
2022	A	`conf`	Fitness shaping for multiple teams. GECCO Joshua Cook, Kagan Tumer
2021	—	`conf`	Ad hoc teaming through evolution. GECCO Companion Joshua Cook, Kagan Tumer
2021	—	`conf`	Adaptive multi-fitness learning for robust coordination. GECCO Companion Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer
2021	A	`conf`	Dynamic Skill Selection for Learning Joint Actions. AAMAS Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2021	—	`conf`	Heterogeneous agent coordination via adaptive quality diversity and specialization. GECCO Companion Gaurav Dixit, Charles Koll, Kagan Tumer
2021	A	`conf`	MAEDyS: multiagent evolution via dynamic skill selection. GECCO Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2021	—	`conf`	Reactive Multi-Fitness Learning for Robust Multiagent Teaming. MRS Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer
2020	A*	`conf`	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
2020	A	`conf`	Gaussian Processes as Multiagent Reward Models. AAMAS Gaurav Dixit, Stéphane Airiau, Kagan Tumer
2020	A	`conf`	Multi-fitness learning for behavior-driven cooperation. GECCO Connor Yates, Reid Christopher, Kagan Tumer
2020	A	`conf`	Multi-level Fitness Critics for Cooperative Coevolution. AAMAS Golden Rockefeller, Shauharda Khadka, Kagan Tumer
2020	A	`conf`	The Power of Suggestion. AAMAS Nicholas Zerbel, Kagan Tumer
2020	J	`jnl`	The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. Auton. Agents Multi Agent Syst. Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
2019	J	`jnl`	A multiagent framework for learning dynamic traffic management strategies. Auton. Robots Jen Jen Chung, Carrie Rebhuhn, Connor Yates, Geoffrey A. Hollinger, Kagan Tumer
2019	A*	`conf`	Collaborative Evolutionary Reinforcement Learning. ICML Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
2019	J	`jnl`	Collaborative Evolutionary Reinforcement Learning. CoRR Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
2019	A	`conf`	Curriculum Learning for Tightly Coupled Multiagent Systems. AAMAS Golden Rockefeller, Patrick Mannion, Kagan Tumer
2019	—	`conf`	Dirichlet-Multinomial Counterfactual Rewards for Heterogeneous Multiagent Systems. MRS Gaurav Dixit, Nicholas Zerbel, Kagan Tumer
2019	J	`jnl`	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. CoRR Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
2019	—	`conf`	Fitness Critics for Multiagent Learning: Extended Abstract. MRS Golden Rockefeller, Patrick Mannion, Kagan Tumer
2019	A	`conf`	Memory based Multiagent One Shot Learning. AAMAS Shauharda Khadka, Connor Yates, Kagan Tumer
2019	—	`conf`	Memory-Based Multiagent One-Shot Learning: Extended Abstract. MRS Shauharda Khadka, Connor Yates, Kagan Tumer
2019	J	`jnl`	Modeling multidisciplinary design with multiagent learning. Artif. Intell. Eng. Des. Anal. Manuf. Daniel E. Hulse, Kagan Tumer, Christopher Hoyle, Irem Y. Tumer
2019	J	`jnl`	Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evol. Comput. Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2019	A	`conf`	The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. AAMAS Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
2018	A	`conf`	A Memory-based Multiagent Framework for Adaptive Decision Making. AAMAS Shauharda Khadka, Connor Yates, Kagan Tumer
2018	J	`jnl`	Design of Complex Engineered Systems Using Multi-Agent Coordination. J. Comput. Inf. Sci. Eng. Nicolás F. Soria Zurita, Mitchell K. Colby, Irem Y. Tumer, Christopher Hoyle, Kagan Tumer
2018	A*	`conf`	Evolution-Guided Policy Gradient in Reinforcement Learning. NeurIPS Shauharda Khadka, Kagan Tumer
2018	J	`jnl`	Evolutionary Reinforcement Learning. CoRR Shauharda Khadka, Kagan Tumer
2018	A	`conf`	When Less is More: Reducing Agent Noise with Probabilistically Learning Agents. AAMAS Jen Jen Chung, Scott Chow, Kagan Tumer
2017	A	`conf`	Evolving memory-augmented neural architecture for deep memory problems. GECCO Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2017	J	`jnl`	Fitness function shaping in multiagent cooperative coevolutionary algorithms. Auton. Agents Multi Agent Syst. Mitchell K. Colby, Kagan Tumer
2017	—	`conf`	Memory-augmented multi-robot teams that learn to adapt. MRS Shauharda Khadka, Jen Jen Chung, Kagan Tumer
2017	—	`conf`	Soft snake robots: Mechanical design and geometric gait implementation. ROBIO Callie Branyan, Chloe Fleming, Jacquelin Remaley, Ammar Kothari, Kagan Tumer, Ross L. Hatton, Yigit Mengüç
2016	J	`jnl`	Autonomous Multiagent Space Exploration with High-Level Human Feedback. J. Aerosp. Inf. Syst. Mitchell K. Colby, Logan Michael Yliniemi, Kagan Tumer
2016	J	`jnl`	Combining reward shaping and hierarchies for scaling to large multiagent systems. Knowl. Eng. Rev. Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
2016	A	`conf`	D++: Structural credit assignment in tightly coupled multiagent domains. IROS Aida Rahmattalabi, Jen Jen Chung, Mitchell K. Colby, Kagan Tumer
2016	A	`conf`	Local Approximation of Difference Evaluation Functions. AAMAS Mitchell K. Colby, Theodore Duchow-Pressley, Jen Jen Chung, Kagan Tumer
2016	J	`jnl`	Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II. Soft Comput. Logan Michael Yliniemi, Kagan Tumer
2016	A	`conf`	Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System. GECCO Mitchell K. Colby, Logan Michael Yliniemi, Paolo Pezzini, David Tucker, Kenneth Mark Bryden, Kagan Tumer
2016	A	`conf`	Neuroevolution of a Hybrid Power Plant Simulator. GECCO Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden
2016	—	`conf`	Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents. AAMAS Workshops (Visionary Papers) Logan Michael Yliniemi, Kagan Tumer
2015	A	`conf`	A Replicator Dynamics Analysis of Difference Evaluation Functions. AAMAS Mitchell K. Colby, Kagan Tumer
2015	A	`conf`	An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions. GECCO Mitchell K. Colby, Kagan Tumer
2015	A	`conf`	Approximating Difference Evaluations with Local Information. AAMAS Mitchell K. Colby, William J. Curran, Kagan Tumer
2015	—	`conf`	Complete Multi-Objective Coverage with PaCcET. GECCO (Companion) Logan Michael Yliniemi, Kagan Tumer
2015	A	`conf`	Counterfactual Exploration for Improving Multiagent Learning. AAMAS Mitchell K. Colby, Sepideh Kharaghani, Chris HolmesParker, Kagan Tumer
2015	A	`conf`	Implicit adaptive multi-robot coordination in dynamic environments. IROS Mitchell K. Colby, Jen Jen Chung, Kagan Tumer
2015	—	`conf`	Learning Based Control of a Fuel Cell Turbine Hybrid Power System. GECCO (Companion) Andrew Gabler, Mitchell K. Colby, Kagan Tumer
2015	J	`jnl`	Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. Artif. Life Atil Iscen, Ken Caluwaerts, Jonathan Bruce, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
2015	A	`conf`	Learning to trick cost-based planners into cooperative behavior. IROS Carrie Rebhuhn, Ryan Skeele, Jen Jen Chung, Geoffrey A. Hollinger, Kagan Tumer
2015	A	`conf`	Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations. AAMAS Logan Michael Yliniemi, Drew Wilson, Kagan Tumer
2015	J	`jnl`	Simulation of the introduction of new technologies in air traffic management. Connect. Sci. Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
2014	—	`conf`	Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace. AAAI Spring Symposia Carrie Rebhuhn, Matt Knudson, Kagan Tumer
2014	A	`conf`	Approximating difference evaluations with local knowledge. AAMAS Mitchell K. Colby, William J. Curran, Carrie Rebhuhn, Kagan Tumer
2014	—	`conf`	CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. WI-IAT (3) Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
2014	A	`conf`	CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract). AAMAS Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
2014	A	`conf`	Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. GECCO Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
2014	A	`conf`	Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. IROS Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
2014	A	`conf`	Hierarchical simulation for complex domains: air traffic flow management. GECCO William J. Curran, Adrian K. Agogino, Kagan Tumer
2014	—	`conf`	Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. SEAL Logan Michael Yliniemi, Kagan Tumer
2014	—	`conf`	Multiagent Flight Control in Dynamic Environments with Cooperative Coevolutionary Algorithms. AAAI Spring Symposia Mitchell K. Colby, Matt Knudson, Kagan Tumer
2014	J	`jnl`	Multirobot Coordination for Space Exploration. AI Mag. Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
2014	—	`conf`	PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. SEAL Logan Michael Yliniemi, Kagan Tumer
2014	A	`conf`	Potential-based difference rewards for multiagent reinforcement learning. AAMAS Sam Devlin, Logan Michael Yliniemi, Daniel Kudenko, Kagan Tumer
2014	A	`conf`	Using reward/utility based impact scores in partitioning. AAMAS William J. Curran, Adrian K. Agogino, Kagan Tumer
2013	J	`jnl`	A neuro-evolutionary approach to control surface segmentation for micro aerial vehicles. Int. J. Gen. Syst. Max Salichon, Kagan Tumer
2013	A	`conf`	Addressing hard constraints in the air traffic problem through partitioning and difference rewards. AAMAS William J. Curran, Adrian K. Agogino, Kagan Tumer
2013	A	`conf`	CLEAN rewards for improving multiagent coordination in the presence of exploration. AAMAS Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
2013	A	`conf`	Controlling tensegrity robots through evolution. GECCO Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
2013	J	`jnl`	Coordinating actions in congestion games: impact of top-down and bottom-up utilities. Auton. Agents Multi Agent Syst. Kagan Tumer, Scott Proper
2013	A	`conf`	Decentralized coordination via task decomposition and reward shaping. AAMAS Atil Iscen, Kagan Tumer
2013	J	`jnl`	Dynamic Partnership Formation for Multi-Rover Coordination. Adv. Complex Syst. Matt Knudson, Kagan Tumer
2013	J	`jnl`	Efficient Objective Functions for Coordinated Learning in Large-Scale Distributed OSA Systems. IEEE Trans. Mob. Comput. MohammadJavad NoroozOliaee, Bechir Hamdaoui, Kagan Tumer
2013	—	`conf`	Elo Ratings for Structural Credit Assignment in Multiagent Systems. AAAI (Late-Breaking Developments) Logan Michael Yliniemi, Kagan Tumer
2013	A	`conf`	Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems. AAMAS Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
2013	A	`conf`	Graphical models in continuous domains for multiagent reinforcement learning. AAMAS Scott Proper, Kagan Tumer
2013	A	`conf`	Learning to control complex tensegrity robots. AAMAS Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
2013	A*	`conf`	Multiagent Learning with a Noisy Global Reward Signal. AAAI Scott Proper, Kagan Tumer
2013	A	`conf`	Multiagent reinforcement learning in a distributed sensor network with indirect feedback. AAMAS Mitchell K. Colby, Kagan Tumer
2013	—	`conf`	Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. GECCO (Companion) William J. Curran, Adrian K. Agogino, Kagan Tumer
2013	J	`jnl`	Robust predictive cruise control for commercial vehicles. Int. J. Gen. Syst. Jaime Junell, Kagan Tumer
2012	J	`jnl`	A multiagent approach to managing air traffic flow. Auton. Agents Multi Agent Syst. Adrian K. Agogino, Kagan Tumer
2012	J	`jnl`	Combining coordination mechanisms to improve performance in multi-robot teams. Artif. Intell. Res. Ehsan M. Nasroullahi, Kagan Tumer
2012	J	`jnl`	Coordinating Secondary-User Behaviors for Inelastic Traffic Reward Maximization in Large-Scale \osa Networks. IEEE Trans. Netw. Serv. Manag. Bechir Hamdaoui, MohammadJavad NoroozOliaee, Kagan Tumer, Ammar Rayes
2012	J	`jnl`	Evolving a Multiagent Controller for Micro Aerial Vehicles. IEEE Trans. Syst. Man Cybern. Part C Max Salichon, Kagan Tumer
2012	A	`conf`	Evolving distributed resource sharing for cubesat constellations. GECCO Adrian K. Agogino, Chris HolmesParker, Kagan Tumer
2012	A	`conf`	Evolving large scale UAV communication system. GECCO Adrian K. Agogino, Chris HolmesParker, Kagan Tumer
2012	A	`conf`	Modeling difference rewards for multiagent learning. AAMAS Scott Proper, Kagan Tumer
2012	—	`conf`	Policy transfer in mobile robots using neuro-evolutionary navigation. GECCO (Companion) Matt Knudson, Kagan Tumer
2012	A	`conf`	Shaping fitness functions for coevolving cooperative multiagent systems. AAMAS Mitchell K. Colby, Kagan Tumer
2012	J	`jnl`	Ten Years of AAMAS: Introduction to the Special Issue. AI Mag. Liz Sonenberg, Peter Stone, Kagan Tumer, Pinar Yolum
2011	A	`ed.`	10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan, May 2-6, 2011, Volume 1-3 AAMAS Liz Sonenberg, Peter Stone, Kagan Tumer, Pinar Yolum
2011	—	`conf`	Achieving optimal elastic traffic rewards in dynamic multichannel access. HPCS MohammadJavad NoroozOliaee, Bechir Hamdaoui, Kagan Tumer
2011	J	`jnl`	Adaptive navigation for autonomous robots. Robotics Auton. Syst. Matt Knudson, Kagan Tumer
2011	A	`conf`	Agent fitness functions for evolving coordinated sensor networks. GECCO Christian Roth, Matt Knudson, Kagan Tumer
2011	B	`conf`	Aligning Spectrum-User Objectives for Maximum Inelastic-Traffic Reward. ICCCN Bechir Hamdaoui, MohammadJavad NoroozOliaee, Kagan Tumer, Ammar Rayes
2011	J	`jnl`	Collective Intelligence, Data Routing and Braess' Paradox CoRR Kagan Tumer, David H. Wolpert
2011	A	`conf`	Optimizing ballast design of wave energy converters using evolutionary algorithms. GECCO Mitchell K. Colby, Ehsan M. Nasroullahi, Kagan Tumer
2010	J	`jnl`	A Multiagent Coordination Approach to Robust Consensus Clustering. Adv. Complex Syst. Adrian K. Agogino, Kagan Tumer
2010	A	`conf`	A neuro-evolutionary approach to micro aerial vehicle control. GECCO Max Salichon, Kagan Tumer
2010	A	`conf`	Coevolution of heterogeneous multi-robot teams. GECCO Matt Knudson, Kagan Tumer
2010	A	`conf`	Robot coordination with ad-hoc team formation. AAMAS Matt Knudson, Kagan Tumer
2010	A	`conf`	Robust neuro-control for a micro quadrotor. GECCO Jack F. Shepherd III, Kagan Tumer
2009	—	`conf`	Coordinating Learning Agents for Multiple Resource Job Scheduling. ALA Kagan Tumer, John W. Lawson
2009	J	`jnl`	Improving Air Traffic Management with a Learning Multiagent System. IEEE Intell. Syst. Kagan Tumer, Adrian K. Agogino
2009	—	`conf`	Improving air traffic management through agent suggestions. AAMAS (2) Adrian K. Agogino, Kagan Tumer
2009	J	`jnl`	Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control. Adv. Complex Syst. Adrian K. Agogino, Kagan Tumer
2009	J	`jnl`	Learning from Actions not Taken in Multiagent Systems. Adv. Complex Syst. Kagan Tumer, Newsha Khani
2009	—	`conf`	Learning from actions not taken: a multiagent learning algorithm. AAMAS (2) Newsha Khani, Kagan Tumer
2009	J	`jnl`	Multiagent Learning for Black Box System Reward Functions. Adv. Complex Syst. Kagan Tumer, Adrian K. Agogino
2009	—	`ch.`	Traffic Congestion Management as a Learning Agent Coordination Problem. Multi-Agent Systems for Traffic and Transportation Engineering Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
2008	A*	`conf`	Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. AAAI Kagan Tumer, Adrian K. Agogino
2008	—	`conf`	Aligning social welfare and agent preferences to alleviate traffic congestion. AAMAS (2) Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
2008	J	`jnl`	Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. Auton. Agents Multi Agent Syst. Adrian K. Agogino, Kagan Tumer
2008	J	`jnl`	Applications of ensemble methods. Inf. Fusion Nikunj C. Oza, Kagan Tumer
2008	J	`jnl`	Classifier ensembles: Select real-world applications. Inf. Fusion Nikunj C. Oza, Kagan Tumer
2008	J	`jnl`	Efficient Evaluation Functions for Evolving Coordination. Evol. Comput. Adrian K. Agogino, Kagan Tumer
2008	J	`jnl`	Ensemble clustering with voting active clusters. Pattern Recognit. Lett. Kagan Tumer, Adrian K. Agogino
2008	—	`conf`	Regulating air traffic flow with coupled agents. AAMAS (2) Adrian K. Agogino, Kagan Tumer
2007	A	`conf`	Distributed agent-based air traffic flow management. AAMAS Kagan Tumer, Adrian K. Agogino
2007	—	`ch.`	Evolving Multi Rover Systems in Dynamic and Noisy Environments. Evolutionary Computation in Dynamic and Uncertain Environments Kagan Tumer, Adrian K. Agogino
2007	A	`conf`	Evolving distributed agents for managing air traffic. GECCO Adrian K. Agogino, Kagan Tumer
2006	A	`conf`	Coordinating simple and unreliable agents. AAMAS Kagan Tumer
2006	A	`conf`	Distributed evaluation functions for fault tolerant multi-rover systems. GECCO Adrian K. Agogino, Kagan Tumer
2006	A	`conf`	Efficient agent-based cluster ensembles. AAMAS Adrian K. Agogino, Kagan Tumer
2006	A	`conf`	Efficient agent-based models for non-genomic evolution. AAMAS Nachi Gupta, Adrian K. Agogino, Kagan Tumer
2006	J	`jnl`	Handling Communication Restrictions and Team Formation in Congestion Games. Auton. Agents Multi Agent Syst. Adrian K. Agogino, Kagan Tumer
2006	A*	`conf`	QUICR-Learning for Multi-Agent Coordination. AAAI Adrian K. Agogino, Kagan Tumer
2005	A	`conf`	Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. GECCO Kagan Tumer, Adrian K. Agogino
2005	—	`conf`	Efficient Reward Functions for Adaptive Multi-rover Systems. LAMAS Kagan Tumer, Adrian K. Agogino
2005	A	`conf`	Efficient credit assignment through evaluation function decomposition. GECCO Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen
2005	A	`conf`	Multi-agent reward analysis for learning in noisy domains. AAMAS Adrian K. Agogino, Kagan Tumer
2004	—	`conf`	Efficient Evaluation Functions for Multi-rover Systems. GECCO (1) Adrian K. Agogino, Kagan Tumer
2004	B	`conf`	Overcoming communication restrictions in collectives. IJCNN Kagan Tumer, Adrian K. Agogino
2004	A	`conf`	Time-Extended Policies in Multi-Agent Reinforcement Learning. AAMAS Kagan Tumer, Adrian K. Agogino
2004	A	`conf`	Unifying Temporal and Structural Credit Assignment Problems. AAMAS Adrian K. Agogino, Kagan Tumer
2003	—	`conf`	Classification of Aircraft Maneuvers for Fault Detection. Multiple Classifier Systems Nikunj C. Oza, Kagan Tumer, Irem Y. Tumer, Edward M. Huff
2003	A	`conf`	Collectives for multiple resource job scheduling across heterogeneous servers. AAMAS Kagan Tumer, John W. Lawson
2003	J	`jnl`	Collectives for the Optimal Combination of Imperfect Objects CoRR Kagan Tumer, David H. Wolpert
2003	J	`jnl`	Improving Search Algorithms by Using Intelligent Coordinates CoRR David H. Wolpert, Kagan Tumer, Esfandiar Bandari
2003	J	`jnl`	Input decimated ensembles. Pattern Anal. Appl. Kagan Tumer, Nikunj C. Oza
2003	—	`conf`	Providing Effective Access to Shared Resources: A COIN Approach. Engineering Self-Organising Systems Stéphane Airiau, Sandip Sen, David H. Wolpert, Kagan Tumer
2003	A	`conf`	Team formation and communication restrictions in collectives. AAMAS Adrian K. Agogino, Kagan Tumer
2002	J	`jnl`	Collective Intelligence, Data Routing and Braess' Paradox. J. Artif. Intell. Res. David H. Wolpert, Kagan Tumer
2002	A	`conf`	Learning sequences of actions in collectives of autonomous agents. AAMAS Kagan Tumer, Adrian K. Agogino, David H. Wolpert
2002	J	`jnl`	Robust Combining of Disparate Classifiers through Order Statistics. Pattern Anal. Appl. Kagan Tumer, Joydeep Ghosh
2002	J	`jnl`	The 2002 AAAI Spring Symposium Series. AI Mag. Jussi Karlgren, Pentti Kanerva, Björn Gambäck, Kenneth D. Forbus, Kagan Tumer, Peter Stone, Kai Goebel, Gaurav S. Sukhatme, Tucker R. Balch, Bernd Fischer, Doug Smith, Sanda M. Harabagiu, Vinay K. Chaudri, Mike Barley, Hans W. Guesgen, Thomas F. Stahovich, Randall Davis, James A. Landay
2001	—	`conf`	Input Decimation Ensembles: Decorrelation through Dimensionality Reduction. Multiple Classifier Systems Nikunj C. Oza, Kagan Tumer
2001	J	`jnl`	Optimal Payoff Functions for Members of Collectives. Adv. Complex Syst. David H. Wolpert, Kagan Tumer
2001	A*	`conf`	Reinforcement Learning in Distributed Domains: Beyond Team Games. IJCAI David H. Wolpert, Joseph Sill, Kagan Tumer
2000	—	`conf`	Adaptivity in agent-based routing for data networks. Agents David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
2000	—	`conf`	Collective Intelligence and Braess' Paradox. AAAI/IAAI Kagan Tumer, David H. Wolpert
1999	J	`jnl`	Adaptivity in Agent-Based Routing for Data Networks. CoRR David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
1999	J	`jnl`	An Introduction to Collective Intelligence CoRR David H. Wolpert, Kagan Tumer
1999	J	`jnl`	Avoiding Braess' Paradox through Collective Intelligence CoRR Kagan Tumer, David H. Wolpert
1999	J	`jnl`	Collective Intelligence for Control of Distributed Dynamical Systems CoRR David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	J	`jnl`	Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer CoRR Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
1999	J	`jnl`	General Principles of Learning-Based Multi-Agent Systems CoRR David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	—	`conf`	General Principles of Learning-Based Multi-Agent Systems. Agents David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	J	`jnl`	Linear and Order Statistics Combiners for Pattern Classification CoRR Kagan Tumer, Joydeep Ghosh
1999	J	`jnl`	Robust Combining of Disparate Classifiers through Order Statistics CoRR Kagan Tumer, Joydeep Ghosh
1999	J	`jnl`	Using Collective Intelligence to Route Internet Traffic CoRR David H. Wolpert, Kagan Tumer, Jeremy Frank
1998	J	`jnl`	Ensembles of radial basis function networks for spectroscopic detection of cervical precancer. IEEE Trans. Biomed. Eng. Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Rebecca R. Richards-Kortum
1998	—	`conf`	Using Collective Intelligence to Route Internet Traffic. NIPS David H. Wolpert, Kagan Tumer, Jeremy Frank
1996	J	`jnl`	Analysis of decision boundaries in linearly combined neural classifiers. Pattern Recognit. Kagan Tumer, Joydeep Ghosh
1996	J	`jnl`	Error Correlation and Error Reduction in Ensemble Classifiers. Connect. Sci. Kagan Tumer, Joydeep Ghosh
1996	B	`conf`	Estimating the Bayes error rate through classifier combining. ICPR Kagan Tumer, Joydeep Ghosh
1996	—	`conf`	Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks. NIPS Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh
1995	J	`jnl`	Designing genetic algorithms for the state assignment problem. IEEE Trans. Syst. Man Cybern. José Nelson Amaral, Kagan Tumer, Joydeep Ghosh
1994	C	`conf`	Sequence Recognition by Input Anticipation. IEA/AIE Kagan Tumer, Joydeep Ghosh