Search Results for author: Zhendong Shi

Found 3 papers, 0 papers with code

From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information

no code implementations1 Oct 2023 Zhendong Shi, Xiaoli Wei, Ercan E. Kuruoglu

The problem of how to take the right actions to make profits in sequential process continues to be difficult due to the quick dynamics and a significant amount of uncertainty in many application scenarios.

Decision Making reinforcement-learning +2

Optimizing Trading Strategies in Quantitative Markets using Multi-Agent Reinforcement Learning

no code implementations15 Mar 2023 Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang

Quantitative markets are characterized by swift dynamics and abundant uncertainties, making the pursuit of profit-driven stock trading actions inherently challenging.

Decision Making Multi-agent Reinforcement Learning +2

Thompson Sampling on Asymmetric $α$-Stable Bandits

no code implementations19 Mar 2022 Zhendong Shi, Ercan E. Kuruoglu, Xiaoli Wei

In algorithm optimization in reinforcement learning, how to deal with the exploration-exploitation dilemma is particularly important.

reinforcement-learning Reinforcement Learning (RL) +1

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