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ORCIDHendrik Baier
Person information
- affiliation: Eindhoven University of Technology, The Netherlands
- affiliation (former): Centrum Wiskunde en Informatica, Amsterdam, The Netherlands
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2020 – today
- 2024
[c19]Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay:
Decision Making in Non-Stationary Environments with Policy-Augmented Search. AAMAS 2024: 2417-2419- [c18]Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma:
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. ECAI 2024: 4068-4075 - [i6]Ava Pettet, Yunuo Zhang, Baiting Luo
, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay:
Decision Making in Non-Stationary Environments with Policy-Augmented Search. CoRR abs/2401.03197 (2024) - [i5]Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma:
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. CoRR abs/2407.10820 (2024) - [i4]Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu:
MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR abs/2407.16312 (2024) - 2023
- [c17]Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang:
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. ACML 2023: 121-136 - [c16]Daniel Hernandez, Hendrik Baier, Michael Kaisers:
BRExIt: On Opponent Modelling in Expert Iteration. IJCAI 2023: 3795-3802 - 2022
- [j8]Daniel Willemsen, Hendrik Baier, Michael Kaisers:
Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34(3): 1801-1814 (2022) - [j7]Daniel Willemsen, Hendrik Baier, Michael Kaisers:
Correction to: Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34(23): 21407 (2022) - [c15]Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek:
Online Planning in POMDPs with Self-Improving Simulators. IJCAI 2022: 4628-4634 - [i3]Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek:
Online Planning in POMDPs with Self-Improving Simulators. CoRR abs/2201.11404 (2022) - [i2]Daniel Hernandez, Hendrik Baier, Michael Kaisers:
BRExIt: On Opponent Modelling in Expert Iteration. CoRR abs/2206.00113 (2022) - 2021
- [c14]Hendrik Baier, Michael Kaisers:
Novelty and MCTS. GECCO Companion 2021: 1483-1487 - [c13]Hendrik Baier, Michael Kaisers:
ME-MCTS: Online Generalization by Combining Multiple Value Estimators. IJCAI 2021: 4032-4038 - 2020
- [c12]Hendrik Baier, Michael Kaisers:
Guiding Multiplayer MCTS by Focusing on Yourself. CoG 2020: 550-557 - [c11]Hendrik Baier, Michael Kaisers:
Opponent-Pruning Paranoid Search. FDG 2020: 10:1-10:7
2010 – 2019
- 2019
- [j6]Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan:
The Text-Based Adventure AI Competition. IEEE Trans. Games 11(3): 260-266 (2019) - [j5]Hendrik Baier, Adam Sattaur, Edward J. Powley, Sam Devlin, Jeff Rollason, Peter I. Cowling:
Emulating Human Play in a Leading Mobile Card Game. IEEE Trans. Games 11(4): 386-395 (2019) - 2018
- [j4]Hendrik Baier, Mark H. M. Winands:
MCTS-Minimax Hybrids with State Evaluations. J. Artif. Intell. Res. 62: 193-231 (2018) - [c10]Hendrik Baier, Peter I. Cowling:
Evolutionary MCTS with Flexible Search Horizon. AIIDE 2018: 2-8 - [c9]Hendrik Baier, Peter I. Cowling:
Evolutionary MCTS for Multi-Action Adversarial Games. CIG 2018: 1-8 - [c8]Hendrik Baier, Mark H. M. Winands:
MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). IJCAI 2018: 5548-5552 - [i1]Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan:
The Text-Based Adventure AI Competition. CoRR abs/1808.01262 (2018) - 2017
- [c7]Daniel Claes, Frans A. Oliehoek, Hendrik Baier, Karl Tuyls:
Decentralised Online Planning for Multi-Robot Warehouse Commissioning. AAMAS 2017: 492-500 - 2016
- [j3]Hendrik Baier, Mark H. M. Winands:
Time Management for Monte Carlo Tree Search. IEEE Trans. Comput. Intell. AI Games 8(3): 301-314 (2016) - [c6]Hendrik Baier:
A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta. CGW@IJCAI 2016: 57-70 - 2015
- [j2]Hendrik Baier, Mark H. M. Winands:
MCTS-Minimax Hybrids. IEEE Trans. Comput. Intell. AI Games 7(2): 167-179 (2015) - 2014
- [c5]Hendrik Baier, Mark H. M. Winands:
Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. CGW@ECAI 2014: 45-63 - 2013
- [c4]Hendrik Baier, Mark H. M. Winands:
Monte-Carlo Tree Search and minimax hybrids. CIG 2013: 1-8 - 2012
- [c3]Hendrik Baier, Mark H. M. Winands:
Beam Monte-Carlo Tree Search. CIG 2012: 227-233 - [c2]Hendrik Baier, Mark H. M. Winands:
Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. ECAI 2012: 109-114 - 2011
- [c1]Hendrik Baier, Mark H. M. Winands:
Time Management for Monte-Carlo Tree Search in Go. ACG 2011: 39-51 - 2010
- [j1]Hendrik Baier, Peter D. Drake:
The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go. IEEE Trans. Comput. Intell. AI Games 2(4): 303-309 (2010)
Coauthor Index
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