9 citations · 17 across the 8 of their papers we have counts for
8 papers
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu, Jianxiong Li, Xianyuan Zhan +2
Preference-based reinforcement learning (PbRL) provides a natural way to align RL agents' behavior with human desired outcomes, but is often restrained by costly human feedback. To…
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
Jianxiong Li, Xiao Hu, Haoran Xu +4
Reward function is essential in reinforcement learning (RL), serving as the guiding signal to incentivize agents to solve given tasks, however, is also notoriously difficult to des…
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels
Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia +2
Age-of-Information (AoI) is a critical metric for network applications. Existing works mostly address optimization with homogeneous AoI requirements, which is different from practi…
A Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station
Qilong Huang, Qing-Shan Jia, Xiang Wu +2
The large adoption of EVs brings practical interest to the operation optimization of the charging station. The joint scheduling of pricing and charging control will achieve a win-w…
Efficient Sampling Policy for Selecting a Good Enough Subset
Gongbo Zhang, Bin Chen, Qing-shan Jia +1
The note studies the problem of selecting a good enough subset out of a finite number of alternatives under a fixed simulation budget. Our work aims to maximize the posterior proba…
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
Kuo Li, Qing-Shan Jia
We discuss the problem of decentralized multi-agent reinforcement learning (MARL) in this work. In our setting, the global state, action, and reward are assumed to be fully observa…
An Actor-Critic Method for Simulation-Based Optimization
Kuo Li, Qing-Shan Jia, Jiaqi Yan
We focus on a simulation-based optimization problem of choosing the best design from the feasible space. Although the simulation model can be queried with finite samples, its inter…
Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply
Teng Long, Qing-Shan Jia
The transition to the zero-carbon power system is underway accelerating recently. Hydrogen energy and electric vehicles (EVs) are promising solutions on the supply and demand sides…