| Game-theoretic cooperative lane changing using data-driven models G Ding, S Aghli, C Heckman, L Chen 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 26 | 2018 |
| Distributed reinforcement learning for cooperative multi-robot object manipulation G Ding, JJ Koh, K Merckaert, B Vanderborght, MM Nicotra, C Heckman, ... arXiv preprint arXiv:2003.09540, 2020 | 25 | 2020 |
| Experience report: Application of falsification methods on the UxAS system CE Tuncali, B Hoxha, G Ding, G Fainekos, S Sankaranarayanan NASA Formal Methods Symposium, 452-459, 2018 | 14 | 2018 |
| Cooperative Control of Mobile Robots with Stackelberg Learning JJ Koh, G Ding, C Heckman, L Chen, A Roncone 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 8 | 2020 |
| Towards scalable Koopman operator learning: Convergence rates and a distributed learning algorithm Z Liu, G Ding, L Chen, E Yeung 2020 American Control Conference (ACC), 3983-3990, 2020 | 5 | 2020 |
| Signal-anticipation in local voltage control in distribution systems Z Liu, S You, X Zhou, G Ding, L Chen IEEE Transactions on Smart Grid 11 (1), 233-246, 2019 | 5 | 2019 |
| Load balancing and speed scaling interaction in processor-sharing systems with exponential power functions G Ding, L Chen 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 1 | 2016 |
| Multi-Agent Reinforcement Learning as Applied to Autonomous Systems G Ding University of Colorado at Boulder, 2021 | | 2021 |
| Distributed Online Convex Programming for Collision Avoidance in Multi-agent Autonomous Vehicle Systems G Ding, H Ravanbakhsh, Z Liu, S Sankaranarayanan, L Chen 2019 American Control Conference (ACC), 2771-2776, 2019 | | 2019 |
| Towards Scalable Koopman Operator Learning: Convergence Rates and Distributed Implementation Z Liu, G Ding, L Chen, E Yeung | | |
