4 citations · 4 across the 2 of their papers we have counts for
Showing 2018 · cs.LGShow all
2 papers · 2 filters
cs.LG2018
Learning Optimal Resource Allocations in Wireless Systems
Mark Eisen, Clark Zhang, Luiz F. O. Chamon +2
This paper considers the design of optimal resource allocation policies in wireless communication systems which are generically modeled as a functional optimization problem with st…
cs.LG2018
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
Arbaaz Khan, Clark Zhang, Daniel D. Lee +2
In this paper, we explore using deep reinforcement learning for problems with multiple agents. Most existing methods for deep multi-agent reinforcement learning consider only a sma…