Maciej Wolczyk

45 papers A* 11Misc 1Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-agent cooperation through in-context co-player inference. CoRR Marissa A. Weis, Maciej Wolczyk, Rajai Nasser, Rif A. Saurous, Blaise Agüera y Arcas, João Sacramento, Alexander Meulemans
2025	A*	`conf`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. ICLR Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2025	J	`jnl`	Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models. CoRR Gracjan Góral, Alicja Ziarko, Piotr Milos, Michal Nauman, Maciej Wolczyk, Michal Kosinski
2025	J	`jnl`	Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning. CoRR Alexander Meulemans, Rajai Nasser, Maciej Wolczyk, Marissa A. Weis, Seijin Kobayashi, Blake A. Richards, Guillaume Lajoie, Angelika Steger, Marcus Hutter, James Manyika, Rif A. Saurous, João Sacramento, Blaise Agüera y Arcas
2025	J	`jnl`	Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning. CoRR Seijin Kobayashi, Yanick Schimpf, Maximilian Schlegel, Angelika Steger, Maciej Wolczyk, Johannes von Oswald, Nino Scherrer, Kaitlin Maile, Guillaume Lajoie, Blake A. Richards, Rif A. Saurous, James Manyika, Blaise Agüera y Arcas, Alexander Meulemans, João Sacramento
2025	J	`jnl`	FlySearch: Exploring how vision-language models explore. CoRR Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz, Marek Cygan, Bartosz Zielinski, Maciej Wolczyk
2025	A*	`conf`	On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract). AAAI Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wolczyk
2024	—	`conf`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. ECCV (21) Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. CoRR Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel
2024	A*	`conf`	Discovering modular solutions that generalize compositionally. ICLR Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger
2024	A*	`conf`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	J	`jnl`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	J	`jnl`	Multi-Label Conditional Generation From Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja
2024	J	`jnl`	Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models. CoRR Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wolczyk
2024	J	`jnl`	State Soup: In-Context Skill Learning, Retrieval and Mixing. CoRR Maciej Pióro, Maciej Wolczyk, Razvan Pascanu, Johannes von Oswald, João Sacramento
2023	J	`jnl`	Discovering modular solutions that generalize compositionally. CoRR Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wolczyk, Alexandra Maria Proca, Johannes von Oswald, Razvan Pascanu, João Sacramento, Angelika Steger
2023	—	`conf`	Hebbian Continual Representation Learning. HICSS Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
2023	—	`conf`	The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
2023	J	`jnl`	Zero time waste in pre-trained early exit neural networks. Neural Networks Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2022	A*	`conf`	Continual Learning with Guarantees via Weight Interval Constraints. ICML Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	Continual Learning with Guarantees via Weight Interval Constraints. CoRR Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	A*	`conf`	Disentangling Transfer in Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Disentangling Transfer in Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Hebbian Continual Representation Learning. CoRR Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
2022	—	`conf`	On the Relationship Between Disentanglement and Multi-task Learning. ECML/PKDD (1) Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
2022	A*	`conf`	PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2022	A*	`conf`	SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. ICRA Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
2021	A*	`conf`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	On the relationship between disentanglement and multi-task learning. CoRR Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
2021	J	`jnl`	PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2021	A*	`conf`	Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract). AAAI Maciej Wolczyk, Andrii Krutsylo
2021	J	`jnl`	SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. CoRR Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
2021	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
2021	Misc	`conf`	Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRL Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
2021	J	`jnl`	Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRR Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
2021	A*	`conf`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2021	J	`jnl`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2020	—	`conf`	Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
2020	J	`jnl`	Finding the Optimal Network Depth in Classification Tasks. CoRR Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor
2019	J	`jnl`	Biologically-Inspired Spatial Neural Networks. CoRR Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke
2019	—	`conf`	Hypernetwork Functional Image Representation. ICANN (Workshop) Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja
2019	J	`jnl`	Multi-task hypernetworks. CoRR Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak
2019	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger