3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading
Chuqiao Zong, Chaojie Wang, Molei Qin +3
High-frequency trading (HFT) that executes algorithmic trading in short time scales, has recently occupied the majority of cryptocurrency market. Besides traditional quantitative t…
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
Weihao Tan, Wentao Zhang, Shanqi Liu +3
Despite the impressive performance across numerous tasks, large language models (LLMs) often fail in solving simple decision-making tasks due to the misalignment of the knowledge i…
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…
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang, Ruiyu Wang, Xinrun Wang +1
Generalization in reinforcement learning (RL) is of importance for real deployment of RL algorithms. Various schemes are proposed to address the generalization issues, including tr…