Journal Articles

 

Emulating Human Play in a Leading Mobile Card Game
    Hendrik Baier, Adam Sattaur, Edward J. Powley, Sam Devlin, Peter I. Cowling, Jeff Rollason
   
IEEE Transactions on Games. In press.

 

MCTS-Minimax Hybrids with State Evaluations
    Hendrik Baier, Mark H. M. Winands
   
Journal of Artificial Intelligence Research, vol. 62. 2018

 

Time Management for Monte Carlo Tree Search
    Hendrik Baier, Mark H. M. Winands
   
IEEE Transactions on Computational Intelligence and AI in Games, vol. 8, no. 3, pp. 301314. 2016


MCTS-Minimax Hybrids
    Hendrik Baier, Mark H. M. Winands
    IEEE Transactions on Computational Intelligence and AI in Games
, vol. 7, no. 2, pp. 167
179. 2015

The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go
    Hendrik Baier, Peter Drake
    IEEE Transactions on Computational Intelligence and AI in Games, vol. 2, no. 4, pp. 303–309. 2010

 


Conference Articles

 

Evolutionary MCTS with Flexible Search Horizon
    Hendrik Baier, Peter I. Cowling
   
14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018). Accepted

 

Evolutionary MCTS for Multi-Action Adversarial Games [nominated for best paper]
    Hendrik Baier, Peter I. Cowling
   
2018 IEEE Conference on Computational Intelligence and Games (CIG 2018). Accepted

 

Decentralized Online Planning for Multi-Robot Warehouse Commissioning [nominated for best paper]
    Daniel Claes, Frans Oliehoek, Hendrik Baier, Karl Tuyls
   
16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), pp. 492500. 2017

 

Monte-Carlo Tree Search and Minimax Hybrids
    Hendrik Baier, Mark H. M. Winands
    2013 IEEE Conference on Computational Intelligence and Games (CIG 2013), pp. 129
136. 2013

Beam Monte-Carlo Tree Search
    Hendrik Baier, Mark H. M. Winands
    2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), pp. 227233. 2012


Nested Monte-Carlo Tree Search for Online Planning in Large MDPs
    Hendrik Baier, Mark H. M. Winands
    20th European Conference on Artificial Intelligence (ECAI 2012), pp. 109114. 2012


Time Management for Monte-Carlo Tree Search in Go
    Hendrik Baier, Mark H. M. Winands
    13th International Conference on Advances in Computer Games (ACG 2011), vol. 7168 of LNCS, pp. 3951. 2012


Active Opening Book Application for Monte-Carlo Tree Search in Go
    Hendrik Baier, Mark H. M. Winands
    23rd Benelux Conference on Artificial Intelligence (BNAIC 2011), pp. 310. 2011


 


Workshop Articles and Extended Abstracts

 

MCTS-Minimax Hybrids with State Evaluations (extended abstract)
    Hendrik Baier, Mark H. M. Winands
    27th International Joint Conference on Artificial Intelligence (IJCAI 2018). Accepted

 

A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta
    Hendrik Baier
    Computer Games: Fifth Workshop on Computer Games (CGW 2016), pp. 57
70. 2016

 

Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions
    Hendrik Baier, Mark H. M. Winands
    Computer Games: Third Workshop on Computer Games (CGW 2014), v
ol. 504 of CCIS, pp. 4563. 2014


Nested Monte-Carlo Tree Search for Online Planning in Large MDPs (extended abstract)
    Hendrik Baier, Mark H. M. Winands
    24th Benelux Conference on Artificial Intelligence (BNAIC 2012), pp. 273274. 2012

 


Theses

Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains
    Hendrik Baier
    Ph.D. thesis. Department of Knowledge Engineering, Maastricht University, Maastricht, The Netherlands. 2015


Adaptive Playout Policies for Monte Carlo Go
    Hendrik Baier
    Master's thesis. Institute of Cognitive Science, Osnabrück University, Osnabrück, Germany. 2010