3 papers
cs.LG2025
Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining
Junjie Zhao, Chengxi Zhang, Chenkai Wang +1
Reinforcement learning (RL) has successfully automated the complex process of mining formulaic alpha factors, for creating interpretable and profitable investment strategies. Howev…
q-fin.CP2025
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE
Junjie Zhao, Chengxi Zhang, Min Qin +1
Alpha factor mining aims to discover investment signals from the historical financial market data, which can be used to predict asset returns and gain excess profits. Powerful deep…
quant-ph2025
Mitigation of birefringence in cavity-based quantum networks using frequency-encoded photons
Chengxi Zhang, Justin Phillips, Inder Monga +3
Atom-cavity systems offer unique advantages for building large-scale distributed quantum computers by providing strong atom-photon coupling while allowing for high-fidelity local o…