2 papers
cs.LG2025
Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
Shuo Zhao, Yongqiang Li, Yu Feng +2
State aggregation aims to reduce the computational complexity of solving Markov Decision Processes (MDPs) while preserving the performance of the original system. A fundamental cha…
cs.RO2025
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang, Xiaoyu Chen, Yongqiang Li +1
An intelligent driving system should dynamically formulate appropriate driving strategies based on the current environment and vehicle status while ensuring system security and rel…