Marcin Michalski

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Multiple Criteria

Ordinal Regression

Top Venues

Bull. Symb. Log.

Arch. Math. Log.

Publications

Marcin Michalski, Robert Ralowski, Szymon Zeberski
Ideals with Smital properties. Arch. Math. Log. 62 (5-6) (2023)
Marcin Michalski, Robert Ralowski, Szymon Zeberski
Mycielski among trees. Math. Log. Q. 67 (3) (2021)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR (2021)
Marcin Michalski, Robert Ralowski, Szymon Zeberski
Nonmeasurable Sets and Unions with respect to Tree ideals. Bull. Symb. Log. 26 (1) (2020)
Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR (2020)
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. ICLR (2020)
Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
Google Research Football: A Novel Reinforcement Learning Environment. AAAI (2020)
Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
A Large-Scale Study on Regularization and Normalization in GANs. ICML (2019)
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. CoRR (2019)
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
FVD: A new Metric for Video Generation. DGS@ICLR (2019)
Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
Google Research Football: A Novel Reinforcement Learning Environment. CoRR (2019)
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby
The Visual Task Adaptation Benchmark. CoRR (2019)
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
Are GANs Created Equal? A Large-Scale Study. NeurIPS (2018)
Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai
MemGEN: Memory is All You Need. CoRR (2018)
Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
The GAN Landscape: Losses, Architectures, Regularization, and Normalization. CoRR (2018)
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR (2018)
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
Are GANs Created Equal? A Large-Scale Study. CoRR (2017)
Milosz Kadzinski, Marcin Michalski
Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. Comput. Oper. Res. 71 (2016)
Andrzej Kobylinski, Marcin Michalski
Cloud Computing and Economic Growth in the Baltic Sea Region Countries. BIR (2011)