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 | 20 | 2019 |
Hyper-parameter sweep on alphazero general H Wang, M Emmerich, M Preuss, A Plaat arXiv preprint arXiv:1903.08129, 2019 | 19 | 2019 |
Monte carlo q-learning for general game playing H Wang, M Emmerich, A Plaat arXiv preprint arXiv:1802.05944, 2018 | 16 | 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 | 12 | 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 |
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 | 12 | 2018 |
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 |
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 | 11 | 2020 |
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, M Emmerich, M Preuss, A Plaat International Journal of Information Technology & Decision Making 22 (02 …, 2023 | 3 | 2023 |
Searching by learning: Exploring artificial general intelligence on small board games by deep reinforcement learning H Wang Ph. D. thesis, Leiden University, 2021 | 1 | 2021 |
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 | 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 |
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 | | |