| Monte carlo q-learning for general game playing H Wang, M Emmerich, A Plaat arXiv preprint arXiv:1802.05944, 2018 | 24 | 2018 |
| Hyper-parameter sweep on alphazero general H Wang, M Emmerich, M Preuss, A Plaat arXiv preprint arXiv:1903.08129, 2019 | 21 | 2019 |
| 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 | 18 | 2019 |
| 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 | 14 | 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 | 13 | 2021 |
| 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 |
| 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 | 10 | 2020 |
| 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 | 4 | 2023 |
| 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 | 4 | 2018 |
| 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 |
| LAM-YOLOv11 for UAV transmission line inspection: overcoming environmental challenges with enhanced detection efficiency Y Xuan, XY Zhang, C Li, H Wang, C Mu Multimedia Systems 31 (2), 1-13, 2025 | | 2025 |
| One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level H Wang, F Zhang, C Mu arXiv preprint arXiv:2502.15778, 2025 | | 2025 |
| TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems H Wang, X Zhang, X Zhang, Z Ding, C Mu arXiv preprint arXiv:2502.15777, 2025 | | 2025 |
| Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization C Mu, X Zhang, H Wang arXiv preprint arXiv:2502.11422, 2025 | | 2025 |
| Robust Lightweight UAV Inspection System for Consumer Electronics Applications in Smart Grids XY Zhang, Y Xuan, C Mu, Z Ding, H Wang, P Guo IEEE Transactions on Consumer Electronics, 2025 | | 2025 |
| 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 |
Aske PlaatLeiden UniversityVerified email at liacs.leidenuniv.nl
