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Ph.D. in Aeronautics and Astronautics, MIT, 2020 - current
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M.S. in Aeronautics and Astronautics, MIT, 2020
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B.S. in Electrical and Computer Engineering, Cornell University, 2016
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Multi-Agent Reinforcement Learning
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Meta-learning
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Robot perception
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Kwanjeong Education Foundation Scholarship, 2017
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Efficient Learning of Neural Network Policies via Imitation Learning and Tube MPC
Andrea Tagliabue,
Dong-Ki Kim,
Michael Everett,
2022
Use a Robust Tube variant of MPC to efficiently learn Neural Network policies via Imitation Learning.
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Sharing in Multiagent Reinforcement Learning
Samir Wadhwania,
Dong-Ki Kim,
Shayegan Omidshafiei,
2019
Sharing information during learning in multiagent environments can reduce the need for each agent to explore the entire state space, leading to reduced learning time.
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Learning to Teach in Cooperative MARL
Dong-Ki Kim,
Shayegan Omidshafiei,
2018
Our algorithm, Learning to Coordinate and Teach Reinforcement (LeCTR), addresses peer-to-peer teaching in cooperative multiagent reinforcement learning.
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Crossmodal Attentive Skill Learner
Shayegan Omidshafiei,
Dong-Ki Kim,
2018
This work introduces the crossmodal learning paradigm and addresses the problem of learning in a high-dimensional domain with multiple sensory inputs.
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