Jiachen Yang
Doctoral student @ Georgia Insitute of Technology
optimization
ml
multi-agent reinforcement learning
agent-based simulation
incentive design
2
presentations
2
number of views
SHORT BIO
Jiachen Yang is a staff researcher at the Lawrence Livermore National Laboratory, where he works on machine learning for applied science. He completed his PhD in Machine Learning at the Georgia Institute of Technology, supervised by Prof. Hongyuan Zha and Prof. Tuo Zhao, where he focused on cooperation in multi-agent reinforcement learning. He received his MS in CS at Georgia Tech in 2017 and his BS in EECS from UC Berkeley in 2014.
Presentations
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob Pettit and 6 other authors
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning
Jiachen Yang and 4 other authors