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Found 4 papers, 2 papers with code
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Our work offers a more comprehensive financial knowledge evaluation benchmark, utilizing data of mock exams and covering a wide range of evaluated LLMs.
Variance Control for Distributional Reinforcement Learning
Although distributional reinforcement learning (DRL) has been widely examined in the past few years, very few studies investigate the validity of the obtained Q-function estimator in the distributional setting.
Distributional Reinforcement Learning
reinforcement-learning
Big portfolio selection by graph-based conditional moments method
Next, the GRACE method learns the conditional variance, skewness, and kurtosis of stock returns from the learned conditional quantiles by using the quantiled conditional moment (QCM) method.
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning
Although distributional reinforcement learning (DRL) has been widely examined in the past few years, there are two open questions people are still trying to address.
