Piotr Miłoś
Piotr Miłoś
University of Warsaw, Polish Academy of Sciences and IDEAS NCBR
Verified email at - Homepage
Cited by
Cited by
Model-based reinforcement learning for atari
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
arXiv preprint arXiv:1903.00374, 2019
Simulation-based reinforcement learning for real-world autonomous driving
B Osiński, A Jakubowski, P Zięcina, P Miłoś, C Galias, S Homoceanu, ...
2020 IEEE international conference on robotics and automation (ICRA), 6411-6418, 2020
Learning to run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ...
The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018
Inequality decomposition by population subgroups for ordinal data
M Kobus, P Miłoś
Journal of Health Economics 31 (1), 15-21, 2012
Continual world: A robotic benchmark for continual reinforcement learning
M Wołczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
Advances in Neural Information Processing Systems 34, 28496-28510, 2021
Focused transformer: Contrastive training for context scaling
S Tworkowski, K Staniszewski, M Pacek, Y Wu, H Michalewski, P Miłoś
Advances in Neural Information Processing Systems 36, 2024
Thor: Wielding hammers to integrate language models and automated theorem provers
AQ Jiang, W Li, S Tworkowski, K Czechowski, T Odrzygóźdź, P Miłoś, ...
Advances in Neural Information Processing Systems 35, 8360-8373, 2022
Maximal displacement of a supercritical branching random walk in a time-inhomogeneous random environment
B Mallein, P Miłoś
CLT for Ornstein-Uhlenbeck branching particle system
R Adamczak, P Miłoś
Subgoal search for complex reasoning tasks
K Czechowski, T Odrzygóźdź, M Zbysiński, M Zawalski, K Olejnik, Y Wu, ...
Advances in Neural Information Processing Systems 34, 624-638, 2021
CARLA Real Traffic Scenarios--novel training ground and benchmark for autonomous driving
B Osiński, P Miłoś, A Jakubowski, P Zięcina, M Martyniak, C Galias, ...
arXiv preprint arXiv:2012.11329, 2020
Moe-mamba: Efficient selective state space models with mixture of experts
M Pióro, K Ciebiera, K Król, J Ludziejewski, S Jaszczur
arXiv preprint arXiv:2401.04081, 2024
Disentangling transfer in continual reinforcement learning
M Wolczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
Advances in Neural Information Processing Systems 35, 6304-6317, 2022
The random interchange process on the hypercube
R Kotecký, P Miłoś, D Ueltschi
Occupation time fluctuations of Poisson and equilibrium finite variance branching systems
P Milos
arXiv preprint math/0512414, 2005
Delocalization of two-dimensional random surfaces with hard-core constraints
P Miłoś, R Peled
Communications in Mathematical Physics 340 (1), 1-46, 2015
On truncated variation, upward truncated variation and downward truncated variation for diffusions
RM Łochowski, P Miłoś
Stochastic Processes and their Applications 123 (2), 446-474, 2013
Magnushammer: A transformer-based approach to premise selection
M Mikuła, S Antoniak, S Tworkowski, AQ Jiang, JP Zhou, C Szegedy, ...
arXiv preprint arXiv:2303.04488, 2023
-Statistics of Ornstein–Uhlenbeck Branching Particle System
R Adamczak, P Miłoś
Journal of Theoretical Probability 27 (4), 1071-1111, 2014
Occupation times of subcritical branching immigration systems with Markov motions
P Miłoś
Stochastic processes and their applications 119 (10), 3211-3237, 2009
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Articles 1–20