| 2024 | IDA | Multi-armed Bandits with Generalized Temporally-Partitioned Rewards. | Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane |
| 2023 | IJCAI | Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms. | Pratik Gajane, Peter Auer, Ronald Ortner |
| 2023 | Interact | WeHeart: A Personalized Recommendation Device for Physical Activity Encouragement and Preventing "Cold Start" in Cardiac Rehabilitation. | Rosa Van Tuijn, Tianqin Lu, Emma Driesse, Koen Franken, Pratik Gajane, Emilia I. Barakova |
| 2023 | IDA | LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models. | Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy |
| 2022 | ICDM | The Impact of Batch Learning in Stochastic Linear Bandits. | Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein |
| 2019 | COLT | Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. | Peter Auer, Yifang Chen, Pratik Gajane, Chung-Wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei |
| 2019 | COLT | Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes. | Peter Auer, Pratik Gajane, Ronald Ortner |
| 2019 | UAI | Variational Regret Bounds for Reinforcement Learning. | Ronald Ortner, Pratik Gajane, Peter Auer |
| 2018 | ALT | Corrupt Bandits for Preserving Local Privacy. | Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann |
| 2015 | ICML | A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. | Pratik Gajane, Tanguy Urvoy, Fabrice Clrot |