The following publications are possibly variants of this publication:
- Price Trailing for Financial Trading Using Deep Reinforcement LearningAvraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas. tnn, 32(7):2837-2846, 2021. [doi]
- Diversity-driven knowledge distillation for financial trading using Deep Reinforcement LearningAvraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas. NN, 140:193-202, 2021. [doi]
- Deep reinforcement learning for financial trading using multi-modal featuresLoukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas. eswa, 238(Part C):121849, March 2024. [doi]
- Improving Deep Reinforcement Learning for Financial Trading Using Neural Network DistillationAvraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas. mlsp 2020: 1-6 [doi]
- Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based NormalizationAngelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas. mlsp 2021: 1-6 [doi]
- Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial TradingLoukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas. icassp 2023: 1-5 [doi]
- A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial TradingGeorgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas. ifip12 2023: 15-23 [doi]