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Hendrik Baier
Hendrik Baier
Researcher, CWI Amsterdam
Bestätigte E-Mail-Adresse bei cwi.nl
Titel
Zitiert von
Zitiert von
Jahr
Decentralised Online Planning for Multi-Robot Warehouse Commissioning
D Claes, F Oliehoek, H Baier, K Tuyls
AAMAS 2017, 2017
1082017
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
882010
Monte-carlo tree search and minimax hybrids
H Baier, MHM Winands
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
512013
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
402019
MCTS-Minimax Hybrids
H Baier, MHM Winands
IEEE Transactions on Computational Intelligence and AI in Games 7 (2), 167-179, 2015
362015
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
342018
Evolutionary MCTS for Multi-Action Adversarial Games
H Baier, PI Cowling
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
322018
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
292012
MCTS-Minimax Hybrids with State Evaluations
H Baier, MHM Winands
Journal of Artificial Intelligence Research 62, 193-231, 2018
202018
Beam Monte-Carlo Tree Search
H Baier, MHM Winands
2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), 227-233, 2012
162012
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
152014
Guiding Multiplayer MCTS by Focusing on Yourself
H Baier, M Kaisers
2020 IEEE Conference on Games (CoG 2020), 2020
132020
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
132020
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
122016
Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains
H Baier
PhD thesis, 2015
102015
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
92011
Explainable Search
H Baier, M Kaisers
2020 IJCAI-PRICAI Workshop on Explainable Artificial Intelligence, 2020
82020
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
62024
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
62012
Adaptive Playout Policies for Monte Carlo Go
H Baier
Master thesis, 2010
62010
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