Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
Laixi Shi, Eric Mazumdar, California Institute of Technology, United States; Yuejie Chi, Carnegie Mellon University, United States; Adam Wierman, California Institute of Technology, United States
Session:
MACb: Sequential Methods and Reinforcement Learning Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics