3 papers
cs.RO2026
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.…
cs.CE2026
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 \…
cs.LG2026
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
Yuxiang Liu, Qiao Liu, Tong Luo +3
Predicting irregularly spaced event sequences with discrete marks poses significant challenges due to the complex, asynchronous dependencies embedded within continuous-time data st…