3 citations · 4 across the 2 of their papers we have counts for
2 papers
q-fin.PM2024★ 1 cited
Combining Transformer based Deep Reinforcement Learning with Black-Litterman Model for Portfolio Optimization
Ruoyu Sun, Angelos Stefanidis, Zhengyong Jiang +1
As a model-free algorithm, deep reinforcement learning (DRL) agent learns and makes decisions by interacting with the environment in an unsupervised way. In recent years, DRL algor…
cs.LG2023★ 3 cited
LEMON: Lossless model expansion
Yite Wang, Jiahao Su, Hanlin Lu +6
Scaling of deep neural networks, especially Transformers, is pivotal for their surging performance and has further led to the emergence of sophisticated reasoning capabilities in f…