3 papers
cs.LG2025
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
Shilong Deng, Zetao Zheng, Hongcai He +2
A major challenge in Reinforcement Learning (RL) is the difficulty of learning an optimal policy from sparse rewards. Prior works enhance online RL with conventional Imitation Lear…
q-fin.ST2024
Limit Order Book Event Stream Prediction with Diffusion Model
Zetao Zheng, Guoan Li, Deqiang Ouyang +2
Limit order book (LOB) is a dynamic, event-driven system that records real-time market demand and supply for a financial asset in a stream flow. Event stream prediction in LOB refe…
cs.LG2023
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
Hongcai He, Anjie Zhu, Shuang Liang +2
Offline meta-reinforcement learning (meta-RL) methods, which adapt to unseen target tasks with prior experience, are essential in robot control tasks. Current methods typically uti…