Search Results for author:
Found 2 papers, 1 papers with code
Approximate Control for Continuous-Time POMDPs
This work proposes a decision-making framework for partially observable systems in continuous time with discrete state and action spaces.
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
The analysis and control of large-population systems is of great interest to diverse areas of research and engineering, ranging from epidemiology over robotic swarms to economics and finance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
