Yue Shi

An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning

2021 · IEEE Transactions on Neural Networks and Learning Systems

In deep reinforcement learning, off-policy data help reduce on-policy interaction with the environment, and the trust region policy optimization (TRPO) method is efficient to stabilize the policy optimization procedure. In this article, we propose an …

A Reference Implementation for a Quantum Message Passing Interface

2023

Practical applications of quantum computing are currently limited by the number of qubits that can be set with reasonable fidelity for each system. Therefore, a distributed quantum computing system with multiple quantum computers coherently connected …

TriStack: Efficient Stackelberg Game-Based Offloading for Cloud-Edge-Terminal Computing

2024

Cloud-edge-terminal computing has become a promising approach to improve resource utilization and service for communication and network applications. It is crucial to rationalize task offloading and resource allocation to better satisfy quality of experience (QoE). …