Hendrik Baier

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 25

Top Topics

Expected Outcome

Alpha Beta Pruning

Monte Carlo Tree Search

Top Venues

IEEE Trans. Comput. Intell. AI Games

IEEE Trans. Games

Publications

Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
Decision Making in Non-Stationary Environments with Policy-Augmented Search. AAMAS (2024)
Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay
Decision Making in Non-Stationary Environments with Policy-Augmented Search. CoRR (2024)
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 (2024)
Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. CoRR (2024)
Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. ACML (2023)
Daniel Hernandez, Hendrik Baier, Michael Kaisers
BRExIt: On Opponent Modelling in Expert Iteration. IJCAI (2023)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. IJCAI (2022)
Daniel Willemsen, Hendrik Baier, Michael Kaisers
Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34 (3) (2022)
Daniel Hernandez, Hendrik Baier, Michael Kaisers
BRExIt: On Opponent Modelling in Expert Iteration. CoRR (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. CoRR (2022)
Daniel Willemsen, Hendrik Baier, Michael Kaisers
Correction to: Value targets in off-policy AlphaZero: a new greedy backup. Neural Comput. Appl. 34 (23) (2022)
Hendrik Baier, Michael Kaisers
Novelty and MCTS. GECCO Companion (2021)
Hendrik Baier, Michael Kaisers
ME-MCTS: Online Generalization by Combining Multiple Value Estimators. IJCAI (2021)
Hendrik Baier, Michael Kaisers
Opponent-Pruning Paranoid Search. FDG (2020)
Hendrik Baier, Michael Kaisers
Guiding Multiplayer MCTS by Focusing on Yourself. CoG (2020)
Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan
The Text-Based Adventure AI Competition. IEEE Trans. Games 11 (3) (2019)
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) (2019)
Hendrik Baier, Mark H. M. Winands
MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). IJCAI (2018)
Hendrik Baier, Mark H. M. Winands
MCTS-Minimax Hybrids with State Evaluations. J. Artif. Intell. Res. 62 (2018)
Hendrik Baier, Peter I. Cowling
Evolutionary MCTS with Flexible Search Horizon. AIIDE (2018)
Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan
The Text-Based Adventure AI Competition. CoRR (2018)
Hendrik Baier, Peter I. Cowling
Evolutionary MCTS for Multi-Action Adversarial Games. CIG (2018)
Daniel Claes, Frans A. Oliehoek, Hendrik Baier, Karl Tuyls
Decentralised Online Planning for Multi-Robot Warehouse Commissioning. AAMAS (2017)
Hendrik Baier, Mark H. M. Winands
Time Management for Monte Carlo Tree Search. IEEE Trans. Comput. Intell. AI Games 8 (3) (2016)
Hendrik Baier
A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta. CGW@IJCAI (2016)
Hendrik Baier, Mark H. M. Winands
MCTS-Minimax Hybrids. IEEE Trans. Comput. Intell. AI Games 7 (2) (2015)
Hendrik Baier, Mark H. M. Winands
Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. CGW@ECAI (2014)
Hendrik Baier, Mark H. M. Winands
Monte-Carlo Tree Search and minimax hybrids. CIG (2013)
Hendrik Baier, Mark H. M. Winands
Beam Monte-Carlo Tree Search. CIG (2012)
Hendrik Baier, Mark H. M. Winands
Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. ECAI (2012)
Hendrik Baier, Mark H. M. Winands
Time Management for Monte-Carlo Tree Search in Go. ACG (2011)
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) (2010)