Follow
Hui Wang
Hui Wang
Postdoc fellow, Paris University Dauphine-PSL
Verified email at dauphine.psl.eu - Homepage
Title
Cited by
Cited by
Year
Alternative loss functions in alphazero-like self-play
H Wang, M Emmerich, M Preuss, A Plaat
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 155-162, 2019
202019
Hyper-parameter sweep on alphazero general
H Wang, M Emmerich, M Preuss, A Plaat
arXiv preprint arXiv:1903.08129, 2019
192019
Monte carlo q-learning for general game playing
H Wang, M Emmerich, A Plaat
arXiv preprint arXiv:1802.05944, 2018
162018
Warm-Start AlphaZero Self-Play Search Enhancements
H Wang, M Preuss, A Plaat
Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in …, 2020
122020
Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning
H Wang, M Preuss, M Emmerich, A Plaat
Proceeding of 2020 22nd International Symposium on Symbolic and Numeric …, 2020
122020
Assessing the potential of classical Q-learning in general game playing
H Wang, M Emmerich, A Plaat
Benelux Conference on Artificial Intelligence, 138-150, 2018
122018
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
H Wang, M Preuss, A Plaat
Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021 …, 2021
112021
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
H Wang, M Emmerich, M Preuss, A Plaat
arXiv preprint arXiv:2003.05988, 2020
112020
A search optimization method for rule learning in board games
H Wang, Y Tang, J Liu, W Chen
PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018
52018
Analysis of hyper-parameters for AlphaZero-like deep reinforcement learning
H Wang, M Emmerich, M Preuss, A Plaat
International Journal of Information Technology & Decision Making 22 (02 …, 2023
32023
Searching by learning: Exploring artificial general intelligence on small board games by deep reinforcement learning
H Wang
Ph. D. thesis, Leiden University, 2021
12021
Self-adaptive agents for general game playing
CF Sironi, D Ashlock, C Browne, T Schaul, H Wang, M Winands
Artificial and Computational Intelligence in Games: Revolutions in …, 2019
12019
A consensus value approach for influence maximization in social networks
F Yang, H Wang, Y Tang, J Liu, W Chen
2017 IEEE International Conference on Agents (ICA), 8-13, 2017
12017
A Complex Networked Method of Sorting Negotiation Demand Based on Answer Set Programs
H Wang, L Li, L Gao, W Chen
Intelligent Automation & Soft Computing, 1-6, 2017
12017
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
H Wang, A Saffidine, T Cazenave
International Conference on Learning and Intelligent Optimization, 332-346, 2023
2023
Deep Reinforcement Learning for  Multiplayer Go
B Driss, J Arjonilla, H Wang, A Saffidine, T Cazenave
International Conference on the Applications of Evolutionary Computation …, 2023
2023
AI for Card Games with Hidden Information
B Bouzy, Y Björnsson, M Buro, T Cazenave, CF Sironi, O Teytaud, ...
Artificial and Computational Intelligence in Games: Revolutions in …, 2019
2019
An Improved Bounded Rational Negotiation Model Based on Answer Set Program
LY Gao, H Wang, W Chen
Computer Science and Artificial Intelligence: Proceedings of the …, 2018
2018
3.3 AI for Card Games with Hidden Information
H Wang, M Winands
Artificial and Computational Intelligence in Games: Revolutions in …, 0
Policy or Value? Loss Function and Playing Strength in AlphaZero-like Self-play
H Wang, M Emmerich, M Preuss, A Plaat
The system can't perform the operation now. Try again later.
Articles 1–20