PM
Piotr Miłoś
cs.LGcs.AImath.PRstat.MLcs.CLmath.MPmath-phcs.CVcs.ROcond-mat.stat-mech
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
64 papers in the corpus · 2005–2026Up and Down the Abstraction Ladder: Code-Based Skills for Language Agents2609.31076v1 · Bart\lomiej Cupiał, Jens Tuyls, Maciej Wo\lczyk et al.2026 · 0 citationsarXiv
Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
What Drives Interactive Improvement from Feedback?2606.30774v1 · Bart\lomiej Cupiał, Jan \Lojek, Miko\laj Garstecki et al.2026 · 0 citationsarXiv
When Does Non-Uniform Replay Matter in Reinforcement Learning?2605.10236v3 · Michal Korniak, Miko\laj Czarnecki, Yarden As et al.2026 · 0 citationsarXiv
Voxtral TTS2603.25551v2 · Mistral-AI: Alexander H. Liu, Alexis Tacnet, Andy Ehrenberg et al.2026 · 0 citationsarXiv
Voxtral Realtime2602.11298v3 · Mistral-AI: Alexander H. Liu, Andy Ehrenberg, Andy Lo et al.2026 · 0 citationsarXiv
Amortized Causal Discovery with Prior-Fitted Networks2512.11840v1 · Mateusz Sypniewski, Mateusz Olko, Mateusz Gajewski et al.2025 · 0 citationsarXiv
Contrastive Representations for Temporal Reasoning2508.13113v2 · Alicja Ziarko, Michal Bortkiewicz, Michal Zawalski et al.2025 · 0 citationsarXiv
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models2505.03821v2 · Gracjan G'oral, Alicja Ziarko, Piotr Mi\lo's et al.2025 · 0 citationsarXiv
Lightweight Latent Verifiers for Efficient Meta-Generation Strategies2504.16760v1 · Bartosz Piotrowski, Witold Drzewakowski, Konrad Staniszewski et al.2025 · 0 citationsarXiv
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery2502.16056v1 · Mateusz Olko, Mateusz Gajewski, Joanna Wojciechowska et al.2025 · 0 citationsarXiv
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient2502.05172v2 · Jan Ludziejewski, Maciej Pi'oro, Jakub Krajewski et al.2025 · 0 citationsarXiv
RapidDock: Unlocking Proteome-scale Molecular Docking2411.00004v1 · RafałPowalski, Bazyli Klockiewicz, Maciej Ja'skowski et al.2024 · 0 citationsarXiv
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe2406.04165v2 · Alicja Ziarko, Albert Q. Jiang, Bartosz Piotrowski et al.2024 · 1 citationarXiv
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?2406.03361v3 · MichałZawalski, Gracjan G'oral, MichałTyrolski et al.2024 · 0 citationsarXiv
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control2405.16158v3 · Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski et al.2024 · 4 citationsarXiv
tsGT: Stochastic Time Series Modeling With Transformer2403.05713v3 · \Lukasz Kuci'nski, Witold Drzewakowski, Mateusz Olko et al.2024 · 0 citationsarXiv
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning2403.00514v2 · Michal Nauman, MichałBortkiewicz, Piotr Mi\lo's et al.2024 · 4 citationsarXiv
Analysing The Impact of Sequence Composition on Language Model Pre-Training2402.13991v1 · Yu Zhao, Yuanbin Qu, Konrad Staniszewski et al.2024 · 1 citationAnalysing The Impact of Sequence Composition on Language Model Pre-Training (Zhao et al., ACL 2024)
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem2402.02868v3 · Maciej Wo\lczyk, Bart\lomiej Cupiał, Mateusz Ostaszewski et al.2024 · 2 citationsarXiv
Structured Packing in LLM Training Improves Long Context Utilization2312.17296v9 · Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur et al.2023 · 5 citationsarXiv
Focused Transformer: Contrastive Training for Context Scaling2307.03170v2 · Szymon Tworkowski, Konrad Staniszewski, Miko\laj Pacek et al.2023 · 18 citationsarXiv
The Tunnel Effect: Building Data Representations in Deep Neural Networks2305.19753v2 · Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani et al.2023 · 3 citationsarXiv
Exploring Continual Learning of Diffusion Models2303.15342v1 · MichałZajac, Kamil Deja, Anna Kuzina et al.2023 · 4 citationsarXiv
Magnushammer: A Transformer-Based Approach to Premise Selection2303.04488v3 · Maciej Miku\la, Szymon Tworkowski, Szymon Antoniak et al.2023 · 9 citationsarXiv
Trust Your : Gradient-based Intervention Targeting for Causal Discovery2211.13715v5 · Mateusz Olko, MichałZajac, Aleksandra Nowak et al.2022 · 0 citationsarXiv
Disentangling Transfer in Continual Reinforcement Learning2209.13900v1 · Maciej Wo\lczyk, MichałZajac, Razvan Pascanu et al.2022 · 9 citationsarXiv
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search2206.00702v10 · MichałZawalski, MichałTyrolski, Konrad Czechowski et al.2022 · 0 citationsarXiv
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers2205.10893v1 · Albert Q. Jiang, Wenda Li, Szymon Tworkowski et al.2022 · 27 citationsarXiv
Continuous Control With Ensemble Deep Deterministic Policy Gradients2111.15382v1 · Piotr Januszewski, Mateusz Olko, MichałKr'olikowski et al.2021 · 3 citationsarXiv
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication2111.06464v2 · \Lukasz Kuci'nski, Tomasz Korbak, PawełKo\lodziej et al.2021 · 23 citationsarXiv
Subgoal Search For Complex Reasoning Tasks2108.11204v4 · Konrad Czechowski, Tomasz Odrzyg'o'zd'z, Marek Zbysi'nski et al.2021 · 7 citationsarXiv
Continual World: A Robotic Benchmark For Continual Reinforcement Learning2105.10919v3 · Maciej Wo\lczyk, MichałZajac, Razvan Pascanu et al.2021 · 25 citationsarXiv
Planning and Learning Using Adaptive Entropy Tree Search2102.06808v3 · Piotr Kozakowski, Miko\laj Pacek, Piotr Mi\lo's2021 · 0 citationsarXiv
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving2012.11329v2 · B\lażej Osi'nski, Piotr Mi\lo's, Adam Jakubowski et al.2020 · 13 citationsarXiv
Uncertainty-sensitive Learning and Planning with Ensembles1912.09996v3 · Piotr Mi\lo's, \Lukasz Kuci'nski, Konrad Czechowski et al.2019 · 6 citationsarXiv
Simulation-based reinforcement learning for real-world autonomous driving1911.12905v4 · B\lażej Osi'nski, Adam Jakubowski, Piotr Mi\lo's et al.2019 · 134 citationsarXiv
Developmentally motivated emergence of compositional communication via template transfer1910.06079v1 · Tomasz Korbak, Julian Zubek, \Lukasz Kuci'nski et al.2019 · 24 citationsarXiv
Model-Based Reinforcement Learning for Atari1903.00374v5 · Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos et al.2019 · 509 citationsarXiv
The interchange process with reversals on the complete graph1812.03301v2 · Jakob E. Bjornberg, MichałKotowski, Benjamin Lees et al.2018 · 15 citationsElectron. J. Probab., Volume 24 (2019), paper no. 108, 43 pp
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge1809.03447v1 · MichałGarmulewicz, Henryk Michalewski, Piotr Mi\lo's2018 · 6 citationsarXiv
Phase transition for the interchange and quantum Heisenberg models on the Hamming graph1808.08902v2 · Rados\law Adamczak, MichałKotowski, Piotr Mi\lo's2018 · 8 citationsAnn. Inst. H. Poincare Probab. Statist. 57 (1) 273 - 325, February 2021
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments1804.00361v1 · \Lukasz Kidzi'nski, Sharada Prasanna Mohanty, Carmichael Ong et al.2018 · 77 citationsarXiv
CLT for supercritical branching processes with heavy-tailed branching law1803.05491v2 · RafałMarks, Piotr Mi\lo's2018 · 0 citationsarXiv
Note on Bolthausen-Deuschel-Zeitouni's paper on the absence of a wetting transition for a pinned harmonic crystal in dimensions three and larger1703.01479v1 · Loren Coquille, Piotr Mi\lo's2017 · 0 citationsarXiv
Existence of a phase transition of the interchange process on the Hamming graph1605.03548v1 · Bati Sengul, Piotr Milos2016 · 8 citationsarXiv
Maximal displacement of a supercritical branching random walk in a time-inhomogeneous random environment1507.08835v3 · Bastien Mallein, Piotr Mi\lo's2015 · 29 citationsarXiv
Branching Brownian motion with absorption and the all-time minimum of branching Brownian motion with drift1506.01429v2 · Julien Berestycki, 'Eric Brunet, Simon C. Harris et al.2015 · 15 citationsarXiv
Delocalization of two-dimensional random surfaces with hard-core constraints1404.5895v3 · Piotr Mi\lo's, Ron Peled2014 · 23 citationsarXiv
Career total: 90 works. 64 are in this corpus.Showing the 50 most recent.
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