Ti-Rong Wu

According to our database, Ti-Rong Wu authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games.

Ti-Rong Wu, Hung Guei, Po-Wei Huang, Pei-Chiun Peng, Ting-Han Wei, Chung-Chin Shih, Yun-Jui Tsai

CoRR, 2023

An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht!

Chien-Liang Kuo, Po-Ting Chen, Hung Guei, De-Rong Sung, Chu-Hsuan Hsueh, Ti-Rong Wu, I-Chen Wu

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

Game Solving with Online Fine-Tuning.

Ti-Rong Wu, Hung Guei, Ting-Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Local-Pattern Related Look-Up Table.

Chung-Chin Shih, Ting-Han Wei, Ti-Rong Wu, I-Chen Wu

CoRR, 2022

Gumbel MuZero for the Game of 2048.

Chih-Yu Kao, Hung Guei, Ti-Rong Wu, I-Chen Wu

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2022

Are AlphaZero-like Agents Robust to Adversarial Perturbations?

Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AlphaZero-based Proof Cost Network to Aid Game Solving.

Ti-Rong Wu, Chung-Chin Shih, Ting-Han Wei, Meng-Yu Tsai, Wei-Yuan Hsu, I-Chen Wu

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Novel Approach to Solving Goal-Achieving Problems for Board Games.

Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search.

Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search.

Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh

CoRR, 2020

Strength Adjustment and Assessment for MCTS-Based Programs [Research Frontier].

An-Jen Liu, Ti-Rong Wu, I-Chen Wu, Hung Guei, Ting-Han Wei

IEEE Comput. Intell. Mag., 2020

Accelerating and Improving AlphaZero Using Population Based Training.

Ti-Rong Wu, Ting-Han Wei, I-Chen Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Net2Net Extension for the AlphaGo Zero Algorithm.

Hsiao-Chung Hsieh, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu

Proceedings of the Advances in Computer Games - 16th International Conference, 2019

On Strength Adjustment for MCTS-Based Programs.

I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multilabeled Value Networks for Computer Go.

Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-Han Wei, Hung-Chun Wu, Tung-Yi Lai, Li-Cheng Lan

IEEE Trans. Games, 2018

2017

Multi-Labelled Value Networks for Computer Go.

Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-Han Wei, Tung-Yi Lai, Hung-Chun Wu, Li-Cheng Lan

CoRR, 2017