Hui Wang

Orcid: 0000-0003-1799-6273

Affiliations:

Leiden University, Leiden Institute of Advanced Computer Science, Leiden, Netherlands
Southwest University, College of Computer and Information Science, Chongqing, China

According to our database¹, Hui Wang authored at least 12 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2023

Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Int. J. Inf. Technol. Decis. Mak., March, 2023

2021

Adaptive Warm-Start MCTS in AlphaZero-Like Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Hui Wang

Mike Preuss

Aske Plaat

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2020

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

[BibT_eX]

[DOI]

CoRR, 2020

Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

Warm-Start AlphaZero Self-play Search Enhancements.

[BibT_eX]

[DOI]

Hui Wang

Mike Preuss

Aske Plaat

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Hyper-Parameter Sweep on AlphaZero General.

[BibT_eX]

[DOI]

CoRR, 2019

Alternative Loss Functions in AlphaZero-like Self-play.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Monte Carlo Q-learning for General Game Playing.

[BibT_eX]

[DOI]

Hui Wang

Michael Emmerich

Aske Plaat

CoRR, 2018

A Search Optimization Method for Rule Learning in Board Games.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Assessing the Potential of Classical Q-learning in General Game Playing.

[BibT_eX]

[DOI]

Hui Wang

Michael Emmerich

Aske Plaat

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

A consensus value approach for influence maximization in social networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Agents, 2017

Hui Wang

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