This repo contains official implementations of Coach AI Badminton Project from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng.
The high-level concepts of each project are as follows:
- Visualization Platform published at Physical Education Journal 2020 aims to construct a platform that can be used to illustrate the data from matches.
- Shot Influence and Extension Work published at ICDM-21 and ACM TIST 2022, respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot.
- Stroke Forecasting published at AAAI-22 proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework.
- Strategic Environment published at AAAI-23 Student Abstract designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures.
- Movement Forecasting published at AAAI-23 proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs.
- CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at IJCAI-23. Please find the website for more details.
- ShuttleSet published at KDD-23 is the largest badminton singles dataset with stroke-level records.
- An extension dataset ShuttleSet22 published at IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop is also released.
- CoachAI Badminton Environment published at AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023 is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.
- Wei-Yao Wang, Wen-Chih Peng, Wei Wang, Philip Yu, "ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton", paper
- Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, "Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset", IJCAI 2024 Demo & IT4PSS @ IJCAI 2023, paper
- Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng, "The CoachAI Badminton Environment: Bridging the Gap Between a Reinforcement Learning Environment and Real-World Badminton Games", AAAI 2024 Demo, paper
- Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng, "The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)", AAAI 2024, paper
- Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng, "Generating Turn-Based Player Behavior via Experience from Demonstrations", SPIGM @ ICML 2023, paper
- Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng, "The CoachAI Badminton Environment: Improving Badminton Player Tactics with A Novel Reinforcement Learning Environment", DSAI4Sports @ KDD 2023
- Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng, "ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis", KDD 2023, paper
- Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng, "Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton", AAAI 2023, paper
- Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng, "A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract), AAAI 2023, paper
- Wei-Yao Wang, "Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches", CIKM 2022, paper
- Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, "How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies", ACM TIST 2022, paper
- Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng, "ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton", AAAI 2022, paper
- Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, "Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches", ICDM 2021, paper
- Wei-Yao Wang, Kai-Shiang Chang, Teng-Fong Chen, Chih-Chuan Wang, Wen-Chih Peng, Chih-Wei Yi, "Badminton Coach AI: A Badminton Match Data Analysis Platform Based on Deep Learning", Physical Education Journal 2020, paper
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