Piotr Milos
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Structured Packing in LLM Training Improves Long Context Utilization. | Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Yu Zhao, Henryk Michalewski, Lukasz Kucinski, Piotr Milos |
| 2025 | ICML | Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient. | Jan Ludziejewski, Maciej Piro, Jakub Krajewski, Maciej Stefaniak, Michal Krutul, Jan Malasnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Milos, Sebastian Jaszczur |
| 2025 | ICML | Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery. | Mateusz Olko, Mateusz Gajewski, Joanna Wojciechowska, Mikolaj Morzy, Piotr Sankowski, Piotr Milos |
| 2024 | ACL | Analysing The Impact of Sequence Composition on Language Model Pre-Training. | Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini |
| 2024 | ICLR | Magnushammer: A Transformer-Based Approach to Premise Selection. | Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu |
| 2024 | ICML | Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. | Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan |
| 2024 | ICML | Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. | Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos |
| 2023 | ICLR | Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. | Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Tomasz Odrzygzdz, Damian Stachura, Piotr Piekos, Yuhuai Wu, Lukasz Kucinski, Piotr Milos |
| 2022 | IJCNN | Planning and Learning using Adaptive Entropy Tree Search. | Piotr Kozakowski, Mikolaj Pacek, Piotr Milos |
| 2021 | IJCNN | Structure and Randomness in Planning and Reinforcement Learning. | Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos |
| 2021 | IJCNN | Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration. | Konrad Czechowski, Tomasz Odrzygzdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos |
| 2020 | ICLR | Model Based Reinforcement Learning for Atari. | Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski |
| 2020 | ICRA | Simulation-Based Reinforcement Learning for Real-World Autonomous Driving. | Blazej Osinski, Adam Jakubowski, Pawel Ziecina, Piotr Milos, Christopher Galias, Silviu Homoceanu, Henryk Michalewski |
| 2017 | CoRL | Hierarchical Reinforcement Learning with Parameters. | Maciej Klimek, Henryk Michalewski, Piotr Milos |