Hybrid Deep Learning and Reinforcement Learning for Adaptive Cryptocurrency Trading Using Attention-LSTM and Soft Actor-Critic
This study proposes a hybrid artificial intelligence-based trading framework that integrates deep learning and reinforcement learning to develop an adaptive Bitcoin trading strategy. The proposed approach combines an Attention Long Short-Term Memory model to estimate the probability of future price movements with a Sof...