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Zhenyu Tao

2 accepted papers

2025

A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications

NeurIPS 2025poster

The bisimulation metric (BSM) is a powerful tool for computing state similarities within a Markov decision process (MDP), revealing that states closer in BSM have more similar optimal value functions. While BSM has been successfully utilized in reinforcement learning (RL) for tasks like state repres…

Cited by 0SourceScholar
2025

Map2Traj: Street Map Piloted Zero-shot Trajectory Generation Method for Wireless Network Optimization

IJCAI 2025

In modern wireless networks, user mobility modeling plays a pivotal role in learning-based network optimization, particularly in tasks such as user association and resource allocation. Traditional random mobility models, e.g., random waypoint and Gauss Markov model, often fail to accurately capture

Cited by 0SourcePDFScholar