3 citations · 3 across the 13 of their papers we have counts for
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q-fin.MF2023
Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning
Xiangyu Cui, Xun Li, Yun Shi +1
This paper studies a discrete-time mean-variance model based on reinforcement learning. Compared with its continuous-time counterpart in \cite{zhou2020mv}, the discrete-time model…
cs.LG2023
Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao, John Dang, Aditya Grover
Many applications of large language models (LLMs), ranging from chatbots to creative writing, require nuanced subjective judgments that can differ significantly across different gr…
cs.LG2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Siyan Zhao, Aditya Grover
Reinforcement learning presents an attractive paradigm to reason about several distinct aspects of sequential decision making, such as specifying complex goals, planning future obs…