1 citations · 2 across the 4 of their papers we have counts for
4 papers
ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks
Ruixuan Miao, Xu Lu, Cong Tian +2
The commonly used Reinforcement Learning (RL) model, MDPs (Markov Decision Processes), has a basic premise that rewards depend on the current state and action only. However, many r…
Towards Practical Requirement Analysis and Verification: A Case Study on Software IP Components in Aerospace Embedded Systems
Zhi Ma, Cheng Wen, Jie Su +4
IP-based software design is a crucial research field that aims to improve efficiency and reliability by reusing complex software components known as intellectual property (IP) comp…
Using Experience Classification for Training Non-Markovian Tasks
Ruixuan Miao, Xu Lu, Cong Tian +2
Unlike the standard Reinforcement Learning (RL) model, many real-world tasks are non-Markovian, whose rewards are predicated on state history rather than solely on the current stat…
A Novel Load Balancing Scheme for Mobile Edge Computing
Zhenhua Duan, Cong Tian, Nan Zhang +5
To overcome long propagation delays for data exchange between the remote cloud data center and end devices in Mobile Cloud Computing (MCC), Mobile Edge Computing (MEC) is merging t…