273 citations
- Huawei Technologies (China)CN24 papers
- Tsinghua UniversityCN18 papers
- Peking UniversityCN13 papers
- Shanghai Jiao Tong UniversityCN10 papers
- National Research University Higher School of EconomicsRU8 papers
- Huawei Technologies (United Kingdom)GB7 papers
- The University of SydneyAU7 papers
- Chinese University of Hong KongHK6 papers
- Peng Cheng LaboratoryCN6 papers
- Tianjin UniversityCN6 papers
- KTH Royal Institute of TechnologySE5 papers
- Skolkovo Institute of Science and TechnologyRU5 papers
9 papers · 1 filter
Channel Shortening by Large Multiantenna Precoding in OFDM
Renaud-Alexandre Pitaval
A channel delay spread larger than the cyclic prefix (CP) creates inter-carrier/symbol interference (ISI/ICI) in orthogonal frequency-division multiplexing (OFDM). Recent interests…
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai +5
Reinforcement learning (RL) has recently been introduced to interactive recommender systems (IRS) because of its nature of learning from dynamic interactions and planning for long-…
QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang, Borislav Mavrin, Linglong Kong +2
In this paper, we propose the Quantile Option Architecture (QUOTA) for exploration based on recent advances in distributional reinforcement learning (RL). In QUOTA, decision making…
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang, Hao Chen, Hengshuai Yao
In this paper, we propose an actor ensemble algorithm, named ACE, for continuous control with a deterministic policy in reinforcement learning. In ACE, we use actor ensemble (i.e.,…
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
Xiaoxiao Wang, Xueying Guo, Jie Chuai +2
Cellular network configuration plays a critical role in network performance. In current practice, network configuration depends heavily on field experience of engineers and often r…
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman +1
We present novel graph kernels for graphs with node and edge labels that have ordered neighborhoods, i.e. when neighbor nodes follow an order. Graphs with ordered neighborhoods are…