| 2025 | ECAI | Generalized Proof-Number Monte-Carlo Tree Search. | Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski, Mark H. M. Winands |
| 2025 | ICAART | Environment Descriptions for Usability and Generalisation in Reinforcement Learning. | Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands |
| 2025 | ICAART | A Research Agenda for Usability and Generalisation in Reinforcement Learning. | Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands |
| 2024 | ICORES | Scheduling Single AGV in Blocking Flow-Shop with Identical Jobs. | Erik Boom, Mats Mihalk, Frank Thuijsman, Mark H. M. Winands |
| 2022 | AAAI | Split Moves for Monte-Carlo Tree Search. | Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands |
| 2020 | ECAI | Ludii - The Ludemic General Game System. | ric Piette, Dennis J. N. J. Soemers, Matthew Stephenson, Chiara F. Sironi, Mark H. M. Winands, Cameron Browne |
| 2018 | AAAI | Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. | Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Now |
| 2018 | IJCAI | MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). | Hendrik Baier, Mark H. M. Winands |
| 2017 | IJCAI | On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing. | Chiara F. Sironi, Mark H. M. Winands |
| 2016 | IJCAI | Optimizing Propositional Networks. | Chiara F. Sironi, Mark H. M. Winands |
| 2015 | IJCAI | Sequential Halving for Partially Observable Games. | Tom Pepels, Tristan Cazenave, Mark H. M. Winands |
| 2015 | IJCAI | The Surakarta Bot Revealed. | Mark H. M. Winands |
| 2014 | ECAI | Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. | Hendrik Baier, Mark H. M. Winands |
| 2014 | ECAI | Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search. | Tom Pepels, Tristan Cazenave, Mark H. M. Winands, Marc Lanctot |
| 2014 | ECAI | Quality-based Rewards for Monte-Carlo Tree Search Simulations. | Tom Pepels, Mandy J. W. Tak, Marc Lanctot, Mark H. M. Winands |
| 2013 | IJCAI | Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel. | Marc Lanctot, Viliam Lis, Mark H. M. Winands |
| 2013 | IJCAI | Monte Carlo *-Minimax Search. | Marc Lanctot, Abdallah Saffidine, Joel Veness, Christopher Archibald, Mark H. M. Winands |
| 2012 | ECAI | Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. | Hendrik Baier, Mark H. M. Winands |