7 citations · 8 across the 3 of their papers we have counts for
4 papers
Benchmarking Graph Neural Networks on Link Prediction
Xing Wang, Alexander Vinel
In this paper, we benchmark several existing graph neural network (GNN) models on different datasets for link predictions. In particular, the graph convolutional network (GCN), Gra…
Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network
Xing Wang, Alexander Vinel
Existing exploration strategies in reinforcement learning (RL) often either ignore the history or feedback of search, or are complicated to implement. There is also a very limited…
Cross Learning in Deep Q-Networks
Xing Wang, Alexander Vinel
In this work, we propose a novel cross Q-learning algorithm, aim at alleviating the well-known overestimation problem in value-based reinforcement learning methods, particularly in…
A Graph Theoretic Approach to Non-Anticipativity Constraint Generation in Multistage Stochastic Programs with Incomplete Scenario Sets
Brianna Christian, Alexander Vinel, Zuo Zheng +1
We propose an algorithm for generating a minimum-cardinality set of non-anticipativity constraints (NAC) for scenario-based multistage-stochastic programming (MSSP) problems with b…