Dong-Ming Wang

Scalable Policy Optimization for Networked Multi-Agent Reinforcement Learning with Continuous State-Action Spaces

This work analyzes the Continuous Distributed Coupled Policy Gradient algorithm using local random Fourier features and least-squares temporal-difference critics, and quantifies the dependence of critic estimation on feature excitation and dimension, and constructs simultaneous lower confidence bounds for temporal-diff...