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2020 Conference Publication With whom to communicate: learning efficient communication for multi-robot collision avoidanceSerra-Gomez, Alvaro, Brito, Bruno, Zhu, Hai, Chung, Jen Jen and Alonso-Mora, Javier (2020). With whom to communicate: learning efficient communication for multi-robot collision avoidance. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, United States, 24 October 2020-24 January 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/iros45743.2020.9341762 |
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2020 Conference Publication Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learningChen, Le, Ao, Yunke, Tschopp, Florian, Cramariuc, Andrei, Breyer, Michel, Chung, Jen Jen, Siegwart, Roland and Cadena, Cesar (2020). Learning trajectories for visual-inertial system calibration via model-based heuristic deep reinforcement learning. 4th Conference on Robot Learning (CoRL 2020), Cambridge, MA, United States, 16-18 November 2020. ML Research Press. |
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2019 Journal Article Neuroevolution of a modular memory-augmented neural network for deep memory problemsKhadka, Shauharda, Chung, Jen Jen and Tumer, Kagan (2019). Neuroevolution of a modular memory-augmented neural network for deep memory problems. Evolutionary Computation, 27 (4), 639-664. doi: 10.1162/evco_a_00239 |
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2019 Journal Article A multiagent framework for learning dynamic traffic management strategiesChung, Jen Jen, Rebhuhn, Carrie, Yates, Connor, Hollinger, Geoffrey A. and Tumer, Kagan (2019). A multiagent framework for learning dynamic traffic management strategies. Autonomous Robots, 43 (6), 1375-1391. doi: 10.1007/s10514-018-9800-z |
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2019 Conference Publication Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended AbstractZhang, Liang, Chowdhury, Souma, Zhang, Zexu, Siegwart, Roland and Chung, Jen Jen (2019). Optimized motion strategy for active target localization of mobile robots with time-varying connectivity: Extended Abstract. 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, NJ, United States, 22-23 August 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mrs.2019.8901089 |
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2019 Journal Article Volumetric instance-aware semantic mapping and 3D object discoveryGrinvald, Margarita, Furrer, Fadri, Novkovic, Tonci, Chung, Jen Jen, Cadena, Cesar, Siegwart, Roland and Nieto, Juan (2019). Volumetric instance-aware semantic mapping and 3D object discovery. IEEE Robotics and Automation Letters, 4 (3) 8741085, 3037-3044. doi: 10.1109/lra.2019.2923960 |
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2019 Conference Publication Learning to predict the wind for safe aerial vehicle planningAchermann, Florian, Lawrance, Nicholas R. J., Ranftl, René, Dosovitskiy, Alexey, Chung, Jen Jen and Siegwart, Roland (2019). Learning to predict the wind for safe aerial vehicle planning. 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC Canada, 20-24 May 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icra.2019.8793547 |
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2019 Journal Article Risk-aware graph search with dynamic edge cost discoveryChung, Jen Jen, Smith, Andrew J., Skeele, Ryan and Hollinger, Geoffrey A. (2019). Risk-aware graph search with dynamic edge cost discovery. The International Journal of Robotics Research, 38 (2-3), 182-195. doi: 10.1177/0278364918781009 |
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2019 Conference Publication The impact of agent definitions and interactions on multiagent learning for coordinationChung, Jen Jen, Miklic, Damjan, Sabattini, Lorenzo, Tumer, Kagan and Siegwart, Roland (2019). The impact of agent definitions and interactions on multiagent learning for coordination. 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Montreal, Canada, 13-17 May 2019. New York, NY, United States: Springer New York. |
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2019 Conference Publication Revisiting Boustrophedon coverage path planning as a generalized traveling salesman problemBähnemann, Rik, Lawrance, Nicholas, Chung, Jen Jen, Pantic, Michael, Siegwart, Roland and Nieto, Juan (2019). Revisiting Boustrophedon coverage path planning as a generalized traveling salesman problem. Field and Service Robotics, Tokyo, Japan, 29-31 August 2019. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-15-9460-1_20 |
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2018 Journal Article Guest editorial: special issue on online decision making in multi-robot coordinationChung, Jen Jen, Faigl, Jan and Hollinger, Geoffrey A. (2018). Guest editorial: special issue on online decision making in multi-robot coordination. Autonomous Robots, 42 (4), 687-689. doi: 10.1007/s10514-018-9720-y |
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2018 Conference Publication When less is more: reducing agent noise with probabilistically learning agentsChung, Jen Jen, Chow, Scott and Tumer, Kagan (2018). When less is more: reducing agent noise with probabilistically learning agents. 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Stockholm, Sweden, 10-15 July 2018. New York, NY, United States: Association for Computing Machinery. |
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2017 Conference Publication Memory-augmented multi-robot teams that learn to adaptKhadka, Shauharda, Chung, Jen Jen and Tumer, Kagan (2017). Memory-augmented multi-robot teams that learn to adapt. 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Los Angeles, United States, 4-5 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/mrs.2017.8250941 |
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2017 Journal Article Fast marching adaptive samplingLawrance, Nicholas R. J., Chung, Jen Jen and Hollinger, Geoffrey A. (2017). Fast marching adaptive sampling. IEEE Robotics and Automation Letters, 2 (2) 7812700, 696-703. doi: 10.1109/lra.2017.2651148 |
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2017 Conference Publication Evolving memory-augmented neural architecture for deep memory problemsKhadka, Shauharda, Chung, Jen Jen and Turner, Kagan (2017). Evolving memory-augmented neural architecture for deep memory problems. Genetic and Evolutionary Computation Conference (GECCO), Berlin, Germany, 15-19 July 2017. New York, NY, United States: ACM. doi: 10.1145/3071178.3071346 |
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2016 Conference Publication D++: structural credit assignment in tightly coupled multiagent domainsRahmattalabi, Aida, Chung, Jen Jen, Colby, Mitchell and Tumer, Kagan (2016). D++: structural credit assignment in tightly coupled multiagent domains. https://espace.library.uq.edu.au/view/UQ:ed9e746, 9-14 October 2014, Daejeon, Korea. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros.2016.7759651 |
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2016 Conference Publication Local approximation of difference evaluation functionsColby, Mitchell, Duchow-Pressley, Theodore, Chung, Jen Jen and Tumer, Kagan (2016). Local approximation of difference evaluation functions. 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Singapore, Singapore, 9-10 May 2016. Richland, SC, United States: International Foundation for Autonomous Agents and Multiagent Systems. |
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2015 Conference Publication Learning to trick cost-based planners into cooperative behaviorRebhuhn, Carrie, Skeele, Ryan, Chung, Jen Jen, Hollinger, Geoffrey A. and Tumer, Kagan (2015). Learning to trick cost-based planners into cooperative behavior. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 September 2015-02 October 2015. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros.2015.7354036 |
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2015 Conference Publication Implicit adaptive multi-robot coordination in dynamic environmentsColby, Mitchell, Chung, Jen Jen and Tumer, Kagan (2015). Implicit adaptive multi-robot coordination in dynamic environments. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 September-2 October 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/iros.2015.7354105 |
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2015 Journal Article Learning to soar: Resource-constrained exploration in reinforcement learningChung, Jen Jen, Lawrance, Nicholas R. J. and Sukkarieh, Salah (2015). Learning to soar: Resource-constrained exploration in reinforcement learning. The International Journal of Robotics Research, 34 (2), 158-172. doi: 10.1177/0278364914553683 |
