Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Dong-Ki Kim

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions