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Hendrik Baier
Hendrik Baier
Researcher, CWI Amsterdam
Dirección de correo verificada de cwi.nl
Título
Citado por
Citado por
Año
Decentralised Online Planning for Multi-Robot Warehouse Commissioning
D Claes, F Oliehoek, H Baier, K Tuyls
AAMAS 2017, 2017
1052017
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
852010
Monte-carlo tree search and minimax hybrids
H Baier, MHM Winands
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
472013
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
392019
MCTS-Minimax Hybrids
H Baier, MHM Winands
IEEE Transactions on Computational Intelligence and AI in Games 7 (2), 167-179, 2015
342015
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
312018
Evolutionary MCTS for Multi-Action Adversarial Games
H Baier, PI Cowling
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
282018
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
252012
MCTS-Minimax Hybrids with State Evaluations
H Baier, MHM Winands
Journal of Artificial Intelligence Research 62, 193-231, 2018
202018
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
Beam Monte-Carlo Tree Search
H Baier, MHM Winands
2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), 227-233, 2012
142012
Guiding Multiplayer MCTS by Focusing on Yourself
H Baier, M Kaisers
2020 IEEE Conference on Games (CoG 2020), 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
112016
Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains
H Baier
PhD thesis, 2015
92015
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
82020
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
72011
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
Opponent-Pruning Paranoid Search
H Baier, M Kaisers
2020 International Conference on the Foundations of Digital Games (FDG 2020), 2020
52020
Der Alpha-Beta-Algorithmus und Erweiterungen bei Vier Gewinnt
H Baier
Bachelor thesis, 2006
52006
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Artículos 1–20