8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CE2025★ 1 cited
FinRL Contests: Benchmarking Data-driven Financial Reinforcement Learning Agents
Keyi Wang, Nikolaus Holzer, Ziyi Xia +5
Financial reinforcement learning (FinRL) is now a practical paradigm for financial engineering. However, applying RL strategies to real-world trading tasks remains a challenge for…
cs.LG2023★ 1 cited
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…
q-fin.TR2022★ 8 cited
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…