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Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC


Sep 23, 2021
Andrea Tagliabue, Dong-Ki Kim, Michael Everett, Jonathan P. How

* Submitted to the 2022 IEEE Conference on Robotics and Automation (ICRA). Video: https://youtu.be/28zQFktJIqg 

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Context-Specific Representation Abstraction for Deep Option Learning


Sep 20, 2021
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How


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ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation


Sep 14, 2021
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How


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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

* Under review as a conference paper 

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Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer


Jul 09, 2020
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How

* Accepted to ICML 2020 Workshop Theoretical Foundations of RL 

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Policy Distillation and Value Matching in Multiagent Reinforcement Learning


Mar 15, 2019
Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How

* Submitted as a conference paper to IROS 2019 

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Learning to Teach in Cooperative Multiagent Reinforcement Learning


Aug 31, 2018
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How


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Crossmodal Attentive Skill Learner


May 22, 2018
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How

* International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2018, NIPS 2017 Deep Reinforcement Learning Symposium 

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Satellite Image-based Localization via Learned Embeddings


Apr 04, 2017
Dong-Ki Kim, Matthew R. Walter

* To be published in IEEE International Conference on Robotics and Automation (ICRA), 2017 

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