| Decentralised Online Planning for Multi-Robot Warehouse Commissioning D Claes, F Oliehoek, H Baier, K Tuyls AAMAS 2017, 2017 | 107 | 2017 |
| The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go H Baier, PD Drake IEEE Transactions on Computational Intelligence and AI in Games 2 (4), 303-309, 2010 | 88 | 2010 |
| Monte-carlo tree search and minimax hybrids H Baier, MHM Winands 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013 | 51 | 2013 |
| The text-based adventure AI competition T Atkinson, H Baier, T Copplestone, S Devlin, J Swan IEEE Transactions on Games 11 (3), 260-266, 2019 | 40 | 2019 |
| MCTS-Minimax Hybrids H Baier, MHM Winands IEEE Transactions on Computational Intelligence and AI in Games 7 (2), 167-179, 2015 | 36 | 2015 |
| Emulating human play in a leading mobile card game H Baier, A Sattaur, EJ Powley, S Devlin, J Rollason, PI Cowling IEEE Transactions on Games 11 (4), 386-395, 2018 | 34 | 2018 |
| Evolutionary MCTS for Multi-Action Adversarial Games H Baier, PI Cowling 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 32 | 2018 |
| Nested Monte-Carlo Tree Search for Online Planning in Large MDPs H Baier, MHM Winands 20th European Conference on Artificial Intelligence (ECAI 2012), 109-114, 2012 | 29 | 2012 |
| MCTS-Minimax Hybrids with State Evaluations H Baier, MHM Winands Journal of Artificial Intelligence Research 62, 193-231, 2018 | 20 | 2018 |
| Beam Monte-Carlo Tree Search H Baier, MHM Winands 2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), 227-233, 2012 | 16 | 2012 |
| Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions H Baier, MHM Winands Third Workshop on Computer Games (CGW 2014), 45-63, 2014 | 15 | 2014 |
| Guiding Multiplayer MCTS by Focusing on Yourself H Baier, M Kaisers 2020 IEEE Conference on Games (CoG 2020), 2020 | 13 | 2020 |
| Value targets in off-policy AlphaZero: a new greedy backup D Willemsen, H Baier, M Kaisers Adaptive and Learning Agents (ALA) Workshop at AAMAS, 2020 | 13 | 2020 |
| Time Management for Monte Carlo Tree Search H Baier, MHM Winands IEEE Transactions on Computational Intelligence and AI in Games 8 (3), 301-314, 2016 | 12 | 2016 |
| Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains H Baier PhD thesis, 2015 | 10 | 2015 |
| Active Opening Book Application for Monte-Carlo Tree Search in 19× 19 Go H Baier, MHM Winands 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011), 3-10, 2011 | 9 | 2011 |
| Explainable Search H Baier, M Kaisers 2020 IJCAI-PRICAI Workshop on Explainable Artificial Intelligence, 2020 | 8 | 2020 |
| Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking L Begnardi, H Baier, W van Jaarsveld, Y Zhang Asian Conference on Machine Learning, 121-136, 2024 | 6 | 2024 |
| Time Management for Monte-Carlo Tree Search in Go H Baier, M Winands 13th International Conference on Advances in Computer Games (ACG 2011), 39-51, 2012 | 6 | 2012 |
| Adaptive Playout Policies for Monte Carlo Go H Baier Master thesis, 2010 | 6 | 2010 |
Mark WinandsMaastricht UniversityVerified email at maastrichtuniversity.nl