1 code implementation • 6 Feb 2024 • Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
The training samples for the PPO trainer are also the responses generated during the reflective process, which eliminates the need for human annotators.
1 code implementation • 18 Aug 2023 • Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua
The hierarchical VAE allows us to learn the complex and low-level latent variables for stock prediction, while the diffusion probabilistic model trains the predictor to handle stock price stochasticity by progressively adding random noise to the stock data.