9 citations · 21 across the 5 of their papers we have counts for
5 papers
Dynamic Datasets and Market Environments for Financial Reinforcement Learning
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang +6
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environmen…
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Ming Zhu, Xiao-Yang Liu, Sem Borst +1
Smart traffic lights in intelligent transportation systems (ITSs) are envisioned to greatly increase traffic efficiency and reduce congestion. Deep reinforcement learning (DRL) is…
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui +6
Finance is a particularly difficult playground for deep reinforcement learning. However, establishing high-quality market environments and benchmarks for financial reinforcement le…
Convolutional Graph-Tensor Net for Graph Data Completion
Xiao-Yang Liu, Ming Zhu
Graph data completion is a fundamentally important issue as data generally has a graph structure, e.g., social networks, recommendation systems, and the Internet of Things. We cons…
Towards Neural Knowledge DNA
Haoxi Zhang, Cesar Sanin, Edward Szczerbicki
In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge…