Search Results for author: Yiwen Sun

Found 9 papers, 3 papers with code

AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

1 code implementation16 Feb 2024 Yiwen Sun, Xianyin Zhang, Shiyu Huang, Shaowei Cai, Bing-Zhen Zhang, Ke Wei

Heuristics are crucial in SAT solvers, while no heuristic rules are suitable for all problem instances.

OpenRL: A Unified Reinforcement Learning Framework

1 code implementation20 Dec 2023 Shiyu Huang, Wentse Chen, Yiwen Sun, Fuqing Bie, Wei-Wei Tu

We present OpenRL, an advanced reinforcement learning (RL) framework designed to accommodate a diverse array of tasks, from single-agent challenges to complex multi-agent systems.

reinforcement-learning Reinforcement Learning (RL)

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation

1 code implementation8 Feb 2023 Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang

Goal-conditioned hierarchical reinforcement learning (HRL) provides a promising direction to tackle this challenge by introducing a hierarchical structure to decompose the search space, where the low-level policy predicts primitive actions in the guidance of the goals derived from the high-level policy.

Hierarchical Reinforcement Learning Multi-agent Reinforcement Learning +2

Road Network Metric Learning for Estimated Time of Arrival

no code implementations24 Jun 2020 Yiwen Sun, Kun fu, Zheng Wang, Chang-Shui Zhang, Jieping Ye

To address the data sparsity problem, we propose the Road Network Metric Learning framework for ETA (RNML-ETA).

Metric Learning

FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention

no code implementations7 Jun 2020 Yiwen Sun, Yulu Wang, Kun fu, Zheng Wang, Ziang Yan, Chang-Shui Zhang, Jieping Ye

Estimated time of arrival (ETA) is one of the most important services in intelligent transportation systems and becomes a challenging spatial-temporal (ST) data mining task in recent years.

Fusion Recurrent Neural Network

no code implementations7 Jun 2020 Yiwen Sun, Yulu Wang, Kun fu, Zheng Wang, Chang-Shui Zhang, Jieping Ye

Furthermore, in order to evaluate Fusion RNN's sequence feature extraction capability, we choose a representative data mining task for sequence data, estimated time of arrival (ETA) and present a novel model based on Fusion RNN.

Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting

no code implementations23 Apr 2020 Yiwen Sun, Yulu Wang, Kun fu, Zheng Wang, Chang-Shui Zhang, Jieping Ye

Recently, deep learning based methods have achieved promising results by adopting graph convolutional network (GCN) to extract the spatial correlations and recurrent neural network (RNN) to capture the temporal dependencies.

Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising

no code implementations6 Sep 2018 Yuan Yuan, Xiaojing Dong, Chen Dong, Yiwen Sun, Zhenyu Yan, Abhishek Pani

Predicting keywords performance, such as number of impressions, click-through rate (CTR), conversion rate (CVR), revenue per click (RPC), and cost per click (CPC), is critical for sponsored search in the online advertising industry.

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