Q-Learning and SARSA: A Comparison between Two Intelligent Stochastic Control Approaches for Financial Trading

Author:

Corazza Marco,Sangalli Andrea

Publisher

Elsevier BV

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving algorithmic trading consistency via human alignment and imitation learning;Expert Systems with Applications;2024-11

2. QoS-Oriented Adaptive Routing in Distributed SDN using SARSA Reinforcement Learning;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

3. Optimizing Advantage Actor-Critic with Policy Gradient and Deep Q-learning to Maximize Profit in Forex Trading Prediction;2023 1st IEEE International Conference on Smart Technology (ICE-SMARTec);2023-07-17

4. A Multi-Scaling Reinforcement Learning Trading System Based on Multi-Scaling Convolutional Neural Networks;Mathematics;2023-05-27

5. A Study and Analysis of Energy Efficient Machine Learning Algorithm for Virtualized Sensor Cloud Infrastructure;Proceedings of the International Conference on Cognitive and Intelligent Computing;2022

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