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Publications

Journal papers

  • Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jeremy Rapin, Baptiste Roziere, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen and Sergey Zagoruyko, "Polygames: Improved Zero Learning," ICGA Journal, vol. 42, no. 4, pp. 244-256, 2020.
  • Yen-Chi Chen and Shun-Shii Lin, "A Fast Nonogram Solver that Won TAAI 2017 and ICGA 2018 Tournaments," ICGA Journal, vol. 41, no. 1, pp. 2โ€“14, June 14, 2019.
  • Yen-Chi Chen, Jia-Fong Yeh, and Shun-Shii Lin, "Design and Implementation Aspects of a Surakarta Program," ICGA Journal, vol. 40, no. 4, pp. 438โ€“449, March 25, 2019.

Conference papers

  • Yen-Chi Chen, Hao-En Kuan, Yen-Shun Lu, Tzu-Chun Chen, and I-Chen Wu, "Entropy-Based Two-Phase Optimization Algorithm for Solving Wordle-like Games," 2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2022), Tainan, Taiwan, December 1-3, 2022.
  • Hao-En Kuan, Tzu-Chun Chen, Yen-Shun Lu, Yen-Chi Chen, and I-Chen Wu, "Being Greedy to Solve Nerdle: with Approaches Utilizing Entropy," Taiwan Computer Game Association (TCGA 2022), Nantou, Taiwan, May 13-14, 2022.
  • Chih-Hung Chen, Yen-Chi Chen, and Shun-Shii Lin, "Two-Phase-Win Strategy for Improving the AlphaZero's Strength," The 2nd World Symposium on Communication Engineering (WSCE 2019), Nagoya, Japan, December 20โ€“23, 2019.
  • Yen-Chi Chen, Chih-Hung Chen, and Shun-Shii Lin, "Exact-Win Strategy for Overcoming AlphaZero," Proceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems (CIIS 2018), Phuket Island, Thailand, November 17โ€“19, 2018.
  • Yen-Chi Chen, Jia-Fong Yeh, and Shun-Shii Lin, "Design and Implementation Aspects of a Surakarta Program," The 10th International Conference on Computers and Games (CG 2018), New Taipei City, Taiwan, July 9โ€“11, 2018.
  • Chih-Hung Chen, Shun-Shii Lin, and Yen-Chi Chen, "An Algorithmic Design and Implementation of Outer-Open Gomoku," The 2nd International Conference on Computer and Communication Systems (ICCCS 2017), Kracow (Cracow), Poland, July 11โ€“14, 2017.
  • Yen-Chi Chen and Shun-Shii Lin, "Design and Implementation of Computer Othello Program Maverick," The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015), Tainan, Taiwan, November 20โ€“22, 2015.

arXiv

  • Kuo-Hao Ho, Ruei-Yu Jheng, Ji-Han Wu, Fan Chiang, Yen-Chi Chen, Yuan-Yu Wu, and I-Chen Wu, "Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem," arXiv: 2309.15517, September 27, 2023.
  • Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jeremy Rapin, Baptiste Roziere, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, and Sergey Zagoruyko, "Polygames: Improved Zero Learning," arXiv: 2001.09832, January 27, 2020.

Report

  • Yen-Chi Chen and Shun-Shii Lin, "Requiem wins Nonogram tournament," ICGA journal, vol. 42, no. 1, pp. 49โ€“52, May 28, 2020.

Awards

๐Ÿฅ‡x36 ๐Ÿฅˆx12 ๐Ÿฅ‰x7

Details

ICGA 2023

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

TCGA 2023

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

TAAI 2022

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅˆ Honeymoon Bridge
  • ๐Ÿฅ‰ Nonogram

ICGA 2022

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅˆ Surakarta
  • ๐Ÿฅˆ Honeymoon Bridge

TCGA 2022

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

TAAI 2021

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

ICGA 2021

  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅˆ Othello 8x8

TCGA 2021

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅˆ Nonogram

TAAI 2020

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅ‡ Honeymoon Bridge

ICGA 2020

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Honeymoon Bridge
  • ๐Ÿฅ‰ Nonogram

TCGA 2020

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Honeymoon Bridge
  • ๐Ÿฅ‰ Nonogram

TAAI 2019

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

ICGA 2019

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

TCGA 2019

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

TAAI 2018

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

ICGA 2018

  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅˆ Othello 8x8

TAAI 2017

  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅˆ Othello 8x8

ICGA 2017

  • ๐Ÿฅ‡ Nonogram

TCGA 2017

  • ๐Ÿฅˆ Othello 8x8
  • ๐Ÿฅ‰ Nonogram

COWC 2017

  • ๐Ÿฅ‰ Othello 8x8

TAAI 2016

  • ๐Ÿฅˆ Nonogram
  • ๐Ÿฅˆ Othello 8x8
  • ๐Ÿฅ‰ Outer-Open Gomoku

ICGA 2016

  • ๐Ÿฅ‡ Nonogram
  • ๐Ÿฅˆ Othello 8x8
  • ๐Ÿฅˆ Outer-Open Gomoku

TCGA 2016

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Outer-Open Gomoku

TAAI 2015

  • ๐Ÿฅ‡ Othello 8x8
  • ๐Ÿฅ‡ Nonogram

ICGA 2015

  • ๐Ÿฅ‰ Othello 8x8

Yen-Chi Chen's Projects

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

darc icon darc

Decentralized Autonomous Regulated Company (DARC), a company virtual machine that runs on any EVM-compatible blockchain, with on-chain law system, multi-level tokens and dividends mechanism.

dotfiles icon dotfiles

This repo contains all my configuration.

elf icon elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

ewin-data icon ewin-data

I would release the match information for the exact-win strategy here.

fly_us icon fly_us

็พŽๅ›ฝๅคงๅญฆๅค‡่€ƒ่ต„ๆ–™ How to apply US colleges

job_shop_schedule_problem icon job_shop_schedule_problem

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

l2d icon l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

mergekit icon mergekit

Tools for merging pretrained large language models.

minizero icon minizero

MiniZero: An AlphaZero and MuZero Training Framework

nonogramrecord icon nonogramrecord

This repository records puzzles for each Nonogram competitions.

open_spiel icon open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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