11 citations · 13 across the 3 of their papers we have counts for
3 papers
q-fin.TR2019★ 2 cited
Fairness in Multi-agent Reinforcement Learning for Stock Trading
Wenhang Bao
Unfair stock trading strategies have been shown to be one of the most negative perceptions that customers can have concerning trading and may result in long-term losses for a compa…
cs.MA2019
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System
Wenhang Bao, Xiao-yang Liu
Intelligent transportation systems (ITSs) are envisioned to be crucial for smart cities, which aims at improving traffic flow to improve the life quality of urban residents and red…
q-fin.TR2019★ 11 cited
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
Wenhang Bao, Xiao-yang Liu
Liquidation is the process of selling a large number of shares of one stock sequentially within a given time frame, taking into consideration the costs arising from market impact a…