13 citations · 14 across the 4 of their papers we have counts for
4 papers
EvoMarket: A High-Fidelity and Scalable Financial Market Simulator
Muyao Zhong, Zhenhua Yang, Yuxiang Liu +2
High-fidelity, scalable market simulation is a key instrument for mechanism evaluation, stress testing, and counterfactual policy analysis. Yet existing simulators rarely achieve \…
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning
Yuxiang Liu, Shengfan Cao
We study visual domain transfer for end-to-end imitation learning in a realistic and challenging setting where target-domain data are strictly off-policy, expert-free, and scarce.…
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
Jingyu Xu, Weixiang Wan, Linying Pan +2
In response to the demand for real-time performance and control quality in industrial Internet of Things (IoT) environments, this paper proposes an optimization control system base…
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang, Jiayi Liu, Yuxiang Liu +5
We present LADDER, the first deep reinforcement learning agent that can successfully learn control policies for large-scale real-world problems directly from raw inputs composed of…