activity
20192023
most citedA Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design

3 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.AI2019★ 3 cited

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design

Hyo-Sang Shin, Shaoming He, Antonios Tsourdos

This paper aims to examine the potential of using the emerging deep reinforcement learning techniques in flight control. Instead of learning from scratch, we suggest to leverage do…

eess.SY2019★ 1 cited

Sample Greedy Gossip for Distributed Network-Wide Average Computation

Hyo-Sang Shin, Shaoming He, Antonios Tsourdos

This paper investigates the problem of distributed network-wide averaging and proposes a new greedy gossip algorithm. Instead of finding the optimal path of each node in a greedy m…