Excited to share that we received a National Science Foundation (NSF) award for our "Collaborative Research: SLES: Safe Distributional-Reinforcement Learning-Enabled Systems: Theories, Algorithms, and Experiments". https://t.co/nNmJfVbZuu
I am hiring a Ph.D. student to work on this project, focusing on applying optimization techniques to provide iteration/sample complexities of DRL. Visit my website https://t.co/Hzxi4lCPt2 for more details and reach out to me at [email protected] if you would like to get involved.
How can we guarantee global convergence under DRL and what is the fundamental iteration/sample complexity? We will validate this new framework and algorithms in both high-fidelity simulations and real-world experiments using unmanned aerial vehicles.
Extremely honored to receive the first place of the IISE Pritsker Doctoral Dissertation Award at this year’s #iiseannual2023 conference! Big thanks to my dissertation committee and the award committee! ❤️@umichioe@OhioState
Happy to share that our work on the global convergence of risk-averse policy gradient methods was accepted in #ICML2023. This is a joint work with Dr. Lei Ying from @UMichECE. Looking forward to presenting this work at @icmlconf from July 25 to July 27!
https://t.co/OsdzCl4BHI
Officially Dr. Yu now! Big thanks to my committee members @SiqianShen@yafeng_yin@RuiweiJ @jon77lee and Prof. Viswanath Nagarajan for making this happen! Some of us were just flying back from the IOS conference. I also appreciated everyone I met in this journey ❤️🎉🍾️