213 citations · 218 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
Jernej Hribar, Luke Hackett, Ivana Dusparic
In this paper, we build on advances introduced by the Deep Q-Networks (DQN) approach to extend the multi-objective tabular Reinforcement Learning (RL) algorithm W-learning to large…
cond-mat2003★ 213 cited
Stations, trains and small-world networks
Katherine A Seaton, Lisa M Hackett
The clustering coefficient, path length and average vertex degree of two urban train line networks have been calculated. The results are compared with theoretical predictions for a…