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
19 2019 Hyper-parameter sweep on alphazero general H Wang, M Emmerich, M Preuss, A Plaat
arXiv preprint arXiv:1903.08129, 2019
18 2019 Monte Carlo Q-learning for general game playing H Wang, M Emmerich, A Plaat
arXiv preprint arXiv:1802.05944, 2018
14 2018 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
13 2020 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
12 2020 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
12 2020 Assessing the potential of classical Q-learning in general game playing H Wang, M Emmerich, A Plaat
Artificial Intelligence: 30th Benelux Conference, BNAIC 2018,‘s …, 2019
12 2019 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
11 2021 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
5 2018 Analysis of hyper-parameters for AlphaZero-like deep reinforcement learning H Wang, MTM Emmerich, M Preuss, A Plaat
International Journal of Information Technology & Decision Making, 2022
1 2022 Searching by learning: Exploring artificial general intelligence on small board games by deep reinforcement learning H Wang
Leiden University, 2021
1 2021 Self-adaptive agents for general game playing CF Sironi, D Ashlock, C Browne, T Schaul, H Wang, M Winands
Dagstuhl Reports 9 (12), 2019
1 2019 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
1 2017 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
1 2017 Deep Reinforcement Learning for B Driss, J Arjonilla, H Wang, A Saffidine, T Cazenave
Applications of Evolutionary Computation: 26th European Conference …, 2023
2023 Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search H Wang, A Saffidine, T Cazenave
arXiv preprint arXiv:2302.13225, 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
Aske PlaatLeiden UniversityGeverifieerd e-mailadres voor liacs.leidenuniv.nl
