207 citations · 833 across the 51 of their papers we have counts for
51 papers
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
Hang Wang, Sen Lin, Junshan Zhang
The ensemble method is a promising way to mitigate the overestimation issue in Q-learning, where multiple function approximators are used to estimate the action values. It is known…
Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding
Hongyang Du, Jiacheng Wang, Dusit Niyato +5
Semantic communications can reduce the resource consumption by transmitting task-related semantic information extracted from source messages. However, when the source messages are…
Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services
Hongyang Du, Jiazhen Liu, Dusit Niyato +4
Metaverse encapsulates our expectations of the next-generation Internet, while bringing new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency…
TRGP: Trust Region Gradient Projection for Continual Learning
Sen Lin, Li Yang, Deliang Fan +1
Catastrophic forgetting is one of the major challenges in continual learning. To address this issue, some existing methods put restrictive constraints on the optimization space of…
Model-Based Offline Meta-Reinforcement Learning with Regularization
Sen Lin, Jialin Wan, Tengyu Xu +2
Existing offline reinforcement learning (RL) methods face a few major challenges, particularly the distributional shift between the learned policy and the behavior policy. Offline…
Communication-Efficient Distributed SGD with Compressed Sensing
Yujie Tang, Vikram Ramanathan, Junshan Zhang +1
We consider large scale distributed optimization over a set of edge devices connected to a central server, where the limited communication bandwidth between the server and edge dev…