Kagan Tumer

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 77

Top Venues

Publications

Gaurav Dixit, Kagan Tumer
Informed Diversity Search for Learning in Asymmetric Multiagent Systems. GECCO (2024)
Andrew Festa, Gaurav Dixit, Kagan Tumer
Reinforcing Inter-Class Dependencies in the Asymmetric Island Model. GECCO (2024)
Ayhan Alp Aydeniz, Enrico Marchesini, Christopher Amato, Kagan Tumer
Entropy Seeking Constrained Multiagent Reinforcement Learning. AAMAS (2024)
Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer
Influence Based Fitness Shaping for Coevolutionary Agents. GECCO (2024)
Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer
Indirect Credit Assignment in a Multiagent System. AAMAS (2024)
Joshua Cook, Kagan Tumer
Multidimensional Archive Of The State Space. GECCO Companion (2024)
Andrew Festa, Gaurav Dixit, Kagan Tumer
Influence-Focused Asymmetric Island Model. AAMAS (2024)
Joshua Cook, Kagan Tumer
Learning Aligned Local Evaluations For Better Credit Assignment In Cooperative Coevolution. GECCO (2024)
Anna Nickelson, Kagan Tumer
Redefining the Behavior Space for Multi-Objective MAP-Elites. GECCO Companion (2024)
Gaurav Dixit, Kagan Tumer
Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems. GECCO (2023)
Anna Nickelson, Kagan Tumer, William D. Smart
Contextual Multi-Objective Path Planning. ICRA (2023)
Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer
Entropy Maximization in High Dimensional Multiagent State Spaces. MRS (2023)
Nicholas Zerbel, Kagan Tumer
Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. ECAI (2023)
Joshua Cook, Tristan Scheiner, Kagan Tumer
Multi-Team Fitness Critics For Robust Teaming. AAMAS (2023)
Joshua Cook, Kagan Tumer, Tristan Scheiner
Leveraging Fitness Critics To Learn Robust Teamwork. GECCO (2023)
Ayhan Alp Aydeniz, Robert Tyler Loftin, Kagan Tumer
Novelty Seeking Multiagent Evolutionary Reinforcement Learning. GECCO (2023)
Connor Yates, Kagan Tumer
Knowledge Shaped Behavior Generation for Online Adaptation. GECCO Companion (2023)
Gaurav Dixit, Kagan Tumer
Learning Inter-Agent Synergies in Asymmetric Multiagent Systems. AAMAS (2023)
Anna Nickelson, Nicholas Zerbel, Gaurav Dixit, Kagan Tumer
Shaping the Behavior Space with Counterfactual Agents in Multi-Objective Map Elites. IJCCI (2023)
Gaurav Dixit, Kagan Tumer
Balancing teams with quality-diversity for heterogeneous multiagent coordination. GECCO Companion (2022)
Golden Rockefeller, Kagan Tumer
Bootstrapped fitness critics with bidirectional temporal difference. GECCO Companion (2022)
Gaurav Dixit, Everardo Gonzalez, Kagan Tumer
Diversifying behaviors for learning in asymmetric multiagent systems. GECCO (2022)
Gaurav Dixit, Kagan Tumer
Behavior Exploration and Team Balancing for Heterogeneous Multiagent Coordination. AAMAS (2022)
Joshua Cook, Kagan Tumer
Fitness shaping for multiple teams. GECCO (2022)
Ayhan Alp Aydeniz, Anna Nickelson, Kagan Tumer
Entropy-based local fitnesses for evolutionary multiagent systems. GECCO Companion (2022)
Joshua Cook, Kagan Tumer
Ad hoc teaming through evolution. GECCO Companion (2021)
Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer
Reactive Multi-Fitness Learning for Robust Multiagent Teaming. MRS (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
MAEDyS: multiagent evolution via dynamic skill selection. GECCO (2021)
Enna Sachdeva, Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Dynamic Skill Selection for Learning Joint Actions. AAMAS (2021)
Gaurav Dixit, Charles Koll, Kagan Tumer
Heterogeneous agent coordination via adaptive quality diversity and specialization. GECCO Companion (2021)
Connor Yates, Ayhan Alp Aydeniz, Kagan Tumer
Adaptive multi-fitness learning for robust coordination. GECCO Companion (2021)
Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen McAleer, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. ICML (2020)
Connor Yates, Reid Christopher, Kagan Tumer
Multi-fitness learning for behavior-driven cooperation. GECCO (2020)
Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
The impact of agent definitions and interactions on multiagent learning for coordination in traffic management domains. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Golden Rockefeller, Shauharda Khadka, Kagan Tumer
Multi-level Fitness Critics for Cooperative Coevolution. AAMAS (2020)
Nicholas Zerbel, Kagan Tumer
The Power of Suggestion. AAMAS (2020)
Gaurav Dixit, Stéphane Airiau, Kagan Tumer
Gaussian Processes as Multiagent Reward Models. AAMAS (2020)
Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart
The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. AAMAS (2019)
Jen Jen Chung, Carrie Rebhuhn, Connor Yates, Geoffrey A. Hollinger, Kagan Tumer
A multiagent framework for learning dynamic traffic management strategies. Auton. Robots 43 (6) (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. ICML (2019)
Daniel Hulse, Kagan Tumer, Christopher Hoyle, Irem Y. Tumer
Modeling multidisciplinary design with multiagent learning. Artif. Intell. Eng. Des. Anal. Manuf. 33 (1) (2019)
Shauharda Khadka, Connor Yates, Kagan Tumer
Memory based Multiagent One Shot Learning. AAMAS (2019)
Golden Rockefeller, Patrick Mannion, Kagan Tumer
Curriculum Learning for Tightly Coupled Multiagent Systems. AAMAS (2019)
Shauharda Khadka, Somdeb Majumdar, Kagan Tumer
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination. CoRR (2019)
Gaurav Dixit, Nicholas Zerbel, Kagan Tumer
Dirichlet-Multinomial Counterfactual Rewards for Heterogeneous Multiagent Systems. MRS (2019)
Shauharda Khadka, Somdeb Majumdar, Tarek Nassar, Zach Dwiel, Evren Tumer, Santiago Miret, Yinyin Liu, Kagan Tumer
Collaborative Evolutionary Reinforcement Learning. CoRR (2019)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evol. Comput. 27 (4) (2019)
Shauharda Khadka, Connor Yates, Kagan Tumer
Memory-Based Multiagent One-Shot Learning: Extended Abstract. MRS (2019)
Golden Rockefeller, Patrick Mannion, Kagan Tumer
Fitness Critics for Multiagent Learning: Extended Abstract. MRS (2019)
Jen Jen Chung, Scott Chow, Kagan Tumer
When Less is More: Reducing Agent Noise with Probabilistically Learning Agents. AAMAS (2018)
Nicolás F. Soria Zurita, Mitchell K. Colby, Irem Y. Tumer, Christopher Hoyle, Kagan Tumer
Design of Complex Engineered Systems Using Multi-Agent Coordination. J. Comput. Inf. Sci. Eng. 18 (1) (2018)
Shauharda Khadka, Kagan Tumer
Evolution-Guided Policy Gradient in Reinforcement Learning. NeurIPS (2018)
Shauharda Khadka, Kagan Tumer
Evolutionary Reinforcement Learning. CoRR (2018)
Shauharda Khadka, Connor Yates, Kagan Tumer
A Memory-based Multiagent Framework for Adaptive Decision Making. AAMAS (2018)
Callie Branyan, Chloe Fleming, Jacquelin Remaley, Ammar Kothari, Kagan Tumer, Ross L. Hatton, Yigit Mengüç
Soft snake robots: Mechanical design and geometric gait implementation. ROBIO (2017)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Memory-augmented multi-robot teams that learn to adapt. MRS (2017)
Mitchell K. Colby, Kagan Tumer
Fitness function shaping in multiagent cooperative coevolutionary algorithms. Auton. Agents Multi Agent Syst. 31 (2) (2017)
Shauharda Khadka, Jen Jen Chung, Kagan Tumer
Evolving memory-augmented neural architecture for deep memory problems. GECCO (2017)
Shauharda Khadka, Kagan Tumer, Mitchell K. Colby, Dave Tucker, Paolo Pezzini, Kenneth Mark Bryden
Neuroevolution of a Hybrid Power Plant Simulator. GECCO (2016)
Logan Michael Yliniemi, Kagan Tumer
Multi-objective multiagent credit assignment in reinforcement learning and NSGA-II. Soft Comput. 20 (10) (2016)
Mitchell K. Colby, Logan Michael Yliniemi, Kagan Tumer
Autonomous Multiagent Space Exploration with High-Level Human Feedback. J. Aerosp. Inf. Syst. 13 (8) (2016)
Mitchell K. Colby, Logan Michael Yliniemi, Paolo Pezzini, David Tucker, Kenneth Mark Bryden, Kagan Tumer
Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System. GECCO (2016)
Logan Michael Yliniemi, Kagan Tumer
Using Awareness to Promote Richer, More Human-Like Behaviors in Artificial Agents. AAMAS Workshops (Visionary Papers) (2016)
Mitchell K. Colby, Theodore Duchow-Pressley, Jen Jen Chung, Kagan Tumer
Local Approximation of Difference Evaluation Functions. AAMAS (2016)
Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
Combining reward shaping and hierarchies for scaling to large multiagent systems. Knowl. Eng. Rev. 31 (1) (2016)
Aida Rahmattalabi, Jen Jen Chung, Mitchell K. Colby, Kagan Tumer
D++: Structural credit assignment in tightly coupled multiagent domains. IROS (2016)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Simulation of the introduction of new technologies in air traffic management. Connect. Sci. 27 (3) (2015)
Carrie Rebhuhn, Ryan Skeele, Jen Jen Chung, Geoffrey A. Hollinger, Kagan Tumer
Learning to trick cost-based planners into cooperative behavior. IROS (2015)
Logan Michael Yliniemi, Kagan Tumer
Complete Multi-Objective Coverage with PaCcET. GECCO (Companion) (2015)
Mitchell K. Colby, Kagan Tumer
An Evolutionary Game Theoretic Analysis of Difference Evaluation Functions. GECCO (2015)
Mitchell K. Colby, William J. Curran, Kagan Tumer
Approximating Difference Evaluations with Local Information. AAMAS (2015)
Logan Michael Yliniemi, Drew Wilson, Kagan Tumer
Multi-Objective Multiagent Credit Assignment in NSGA-II Using Difference Evaluations. AAMAS (2015)
Andrew Gabler, Mitchell K. Colby, Kagan Tumer
Learning Based Control of a Fuel Cell Turbine Hybrid Power System. GECCO (Companion) (2015)
Atil Iscen, Ken Caluwaerts, Jonathan Bruce, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. Artif. Life 21 (2) (2015)
Mitchell K. Colby, Sepideh Kharaghani, Chris HolmesParker, Kagan Tumer
Counterfactual Exploration for Improving Multiagent Learning. AAMAS (2015)
Mitchell K. Colby, Kagan Tumer
A Replicator Dynamics Analysis of Difference Evaluation Functions. AAMAS (2015)
Mitchell K. Colby, Jen Jen Chung, Kagan Tumer
Implicit adaptive multi-robot coordination in dynamic environments. IROS (2015)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. GECCO (2014)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Multirobot Coordination for Space Exploration. AI Mag. 35 (4) (2014)
Mitchell K. Colby, Matt Knudson, Kagan Tumer
Multiagent Flight Control in Dynamic Environments with Cooperative Coevolutionary Algorithms. AAAI Spring Symposia (2014)
Logan Michael Yliniemi, Kagan Tumer
Multi-objective Multiagent Credit Assignment Through Difference Rewards in Reinforcement Learning. SEAL (2014)
Carrie Rebhuhn, Matt Knudson, Kagan Tumer
Announced Strategy Types in Multiagent RL for Conflict-Avoidance in the National Airspace. AAAI Spring Symposia (2014)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Using reward/utility based impact scores in partitioning. AAMAS (2014)
Sam Devlin, Logan Michael Yliniemi, Daniel Kudenko, Kagan Tumer
Potential-based difference rewards for multiagent reinforcement learning. AAMAS (2014)
Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. WI-IAT (3) (2014)
Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. IROS (2014)
Mitchell K. Colby, William J. Curran, Carrie Rebhuhn, Kagan Tumer
Approximating difference evaluations with local knowledge. AAMAS (2014)
Logan Michael Yliniemi, Kagan Tumer
PaCcET: An Objective Space Transformation to Iteratively Convexify the Pareto Front. SEAL (2014)
Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract). AAMAS (2014)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Hierarchical simulation for complex domains: air traffic flow management. GECCO (2014)
Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Controlling tensegrity robots through evolution. GECCO (2013)
MohammadJavad NoroozOliaee, Bechir Hamdaoui, Kagan Tumer
Efficient Objective Functions for Coordinated Learning in Large-Scale Distributed OSA Systems. IEEE Trans. Mob. Comput. 12 (5) (2013)
Scott Proper, Kagan Tumer
Graphical models in continuous domains for multiagent reinforcement learning. AAMAS (2013)
Jaime Junell, Kagan Tumer
Robust predictive cruise control for commercial vehicles. Int. J. Gen. Syst. 42 (7) (2013)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. GECCO (Companion) (2013)
Atil Iscen, Kagan Tumer
Decentralized coordination via task decomposition and reward shaping. AAMAS (2013)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Addressing hard constraints in the air traffic problem through partitioning and difference rewards. AAMAS (2013)
Mitchell K. Colby, Kagan Tumer
Multiagent reinforcement learning in a distributed sensor network with indirect feedback. AAMAS (2013)
Max Salichon, Kagan Tumer
A neuro-evolutionary approach to control surface segmentation for micro aerial vehicles. Int. J. Gen. Syst. 42 (7) (2013)
Scott Proper, Kagan Tumer
Multiagent Learning with a Noisy Global Reward Signal. AAAI (2013)

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Publication Activity (10 Years)

Top Topics

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Kagan Tumer