3 citations · 8 across the 3 of their papers we have counts for
4 papers
Regime-Aware Portfolio Management via Retrieval-Augmented LLM-Guided Expert Switching
Ahmad Asadi, Reza Safabakhsh
Financial markets are inherently non-stationary, making the effectiveness of individual portfolio-management strategies highly dependent on changing market conditions. This work pr…
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules
Mehran Taghian, Ahmad Asadi, Reza Safabakhsh
A wide variety of deep reinforcement learning (DRL) models have recently been proposed to learn profitable investment strategies. The rules learned by these models outperform the p…
Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning
Mehran Taghian, Ahmad Asadi, Reza Safabakhsh
Generating asset-specific trading signals based on the financial conditions of the assets is one of the challenging problems in automated trading. Various asset trading rules are p…
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning
Ahmad Asadi, Reza Safabakhsh
Generating textual descriptions for images has been an attractive problem for the computer vision and natural language processing researchers in recent years. Dozens of models base…