A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks

no code implementations • 6 Dec 2022 • Jie Zou, Jiashu Lou, Baohua Wang, Sixue Liu

More and more stock trading strategies are constructed using deep reinforcement learning (DRL) algorithms, but DRL methods originally widely used in the gaming community are not directly adaptable to financial data with low signal-to-noise ratios and unevenness, and thus suffer from performance shortcomings.

reinforcement-learning Reinforcement Learning (RL) +2

Should Algorithms for Random SAT and Max-SAT be Different?

no code implementations • 3 Oct 2016 • Sixue Liu, Gerard de Melo

We analyze to what extent the random SAT and Max-SAT problems differ in their properties.

An Efficient Implementation for WalkSAT

no code implementations • 25 Oct 2015 • Sixue Liu

Stochastic local search (SLS) algorithms have exhibited great effectiveness in finding models of random instances of the Boolean satisfiability problem (SAT).