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cs.LG2024
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…
cs.SE2024★ 1 cited
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…