16 citations · 65 across the 48 of their papers we have counts for
7 papers · 1 filter
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM
Chaojie Wang, Yishi Xu, Zhong Peng +5
Large language models (LLMs) have exhibited remarkable performance on various natural language processing (NLP) tasks, especially for question answering. However, in the face of pr…
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
Wentao Zhang, Yilei Zhao, Shuo Sun +5
Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits.…
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
Molei Qin, Shuo Sun, Wentao Zhang +3
High-frequency trading (HFT) uses computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) marke…
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
Haochong Xia, Shuo Sun, Xinrun Wang +1
Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financi…
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
Dong Xing, Pengjie Gu, Qian Zheng +5
Ad hoc teamwork requires an agent to cooperate with unknown teammates without prior coordination. Many works propose to abstract teammate instances into high-level representation o…
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang +1
The financial markets, which involve more than $90 trillion market capitals, attract the attention of innumerable investors around the world. Recently, reinforcement learning in fi…
Population-size-Aware Policy Optimization for Mean-Field Games
Pengdeng Li, Xinrun Wang, Shuxin Li +2
In this work, we attempt to bridge the two fields of finite-agent and infinite-agent games, by studying how the optimal policies of agents evolve with the number of agents (populat…