Wojciech Czarnecki

Papers

2019

Nature

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Vinyals Oriol, Babuschkin Igor, Czarnecki Wojciech M, Mathieu Micha\ el, Dudzik Andrew, Chung Junyoung, Choi David H, Powell Richard, Ewalds Timo, Georgiev Petko, others

Science

Human-level performance in 3D multiplayer games with population-based reinforcement learning

Jaderberg Max, Czarnecki Wojciech M, Dunning Iain, Marris Luke, Lever Guy, Castaneda Antonio Garcia, Beattie Charles, Rabinowitz Neil C, Morcos Ari S, Ruderman Avraham, others

ICML 2019

Open-ended Learning in Symmetric Zero-sum Games

Balduzzi David, Garnelo Marta, Bachrach Yoram, Czarnecki Wojciech M, Perolat Julien, Jaderberg Max, Graepel Thore

AISTATS 2019

Distilling Policy Distillation

Czarnecki Wojciech Marian, Pascanu Razvan, Osindero Simon, Jayakumar Siddhant M, Swirszcz Grzegorz, Jaderberg Max

arXiv preprint arXiv:1903.01373

α-Rank: Multi-Agent Evaluation by Evolution

Omidshafiei Shayegan, Papadimitriou Christos, Piliouras Georgios, Tuyls Karl, Rowland Mark, Lespiau Jean-Baptiste, Czarnecki Wojciech M, Lanctot Marc, Perolat Julien, Munos Remi

ICLR 2019 Workshop on “Structure & Priors in Reinforcement Learning” (SPiRL)

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning

Stooke Adam, Dalibard Valentin, Jayakumar Siddhant M, Czarnecki Wojciech M, Jaderberg Max

2018

NIPS 2018 DL Workshop

Kickstarting Deep Reinforcement Learning

Schmitt Simon, Hudson Jonathan J, Zidek Augustin, Osindero Simon, Doersch Carl, Czarnecki Wojciech M, Leibo Joel Z, Kuttler Heinrich, Zisserman Andrew, Simonyan Karen, others

ICML 2018

Progress & Compress: A scalable framework for continual learning

Schwarz Jonathan, Luketina Jelena, Czarnecki Wojciech M, Grabska-Barwinska Agnieszka, Teh Yee Whye, Pascanu Razvan, Hadsell Raia

Molecules

Substructural Connectivity Fingerprint and Extreme Entropy Machines—A New Method of Compound Representation and Analysis

Rataj Krzysztof, Czarnecki Wojciech , Podlewska Sabina, Pocha Agnieszka, Bojarski Andrzej

ICML 2018

Mix&Match-Agent Curricula for Reinforcement Learning

Czarnecki Wojciech Marian, Jayakumar Siddhant M, Jaderberg Max, Hasenclever Leonard, Teh Yee Whye, Osindero Simon, Heess Nicolas, Pascanu Razvan

AAAI 2019

Multi-task deep reinforcement learning with popart

Hessel Matteo, Soyer Hubert, Espeholt Lasse, Czarnecki Wojciech , Schmitt Simon, van Hasselt Hado

AAMAS 2019

Evolving intrinsic motivations for altruistic behavior

Wang Jane X, Hughes Edward, Fernando Chrisantha, Czarnecki Wojciech M, Duenez-Guzman Edgar A, Leibo Joel Z

NeurIPS 2018 MetaLearning Workshop

Adapting auxiliary losses using gradient similarity

Du Yunshu, Czarnecki Wojciech M, Jayakumar Siddhant M, Pascanu Razvan, Lakshminarayanan Balaji

Negotiating Team Formation Using Deep Reinforcement Learning

Bachrach Yoram, Everett Richard, Hughes Edward, Lazaridou Angeliki, Leibo Joel, Lanctot Marc, Johanson Mike, Czarnecki Wojtek, Graepel Thore

ICLR 2019

Information asymmetry in KL-regularized RL

Galashov Alexandre, Jayakumar Siddhant, Hasenclever Leonard, Tirumala Dhruva, Schwarz Jonathan, Desjardins Guillaume, Czarnecki Wojtek M, Teh Yee Whye, Pascanu Razvan, Heess Nicolas

2017

Pattern Analysis and Applications

Extreme entropy machines: robust information theoretic classification

Czarnecki Wojciech Marian, Tabor Jacek

ICML 2017

Decoupled neural interfaces using synthetic gradients

Jaderberg Max, Czarnecki Wojciech Marian, Osindero Simon, Vinyals Oriol, Graves Alex, Kavukcuoglu Koray

ICLR 2017

Reinforcement learning with unsupervised auxiliary tasks

Jaderberg Max, Mnih Volodymyr, Czarnecki Wojciech Marian, Schaul Tom, Leibo Joel Z, Silver David, Kavukcuoglu Koray

Bioorganic & medicinal chemistry letters

Quo vadis G protein-coupled receptor ligands? A tool for analysis of the emergence of new groups of compounds over time

Le\ sniak Damian, Jastrz\kebski Stanis\law, Podlewska Sabina, Czarnecki Wojciech M, Bojarski Andrzej J

Journal of chemical information and modeling

Creating the new from the old: Combinatorial libraries generation with machine-learning-based compound structure optimization

Podlewska Sabina, Czarnecki Wojciech M, Kafel Rafa\l, Bojarski Andrzej J

arXiv preprint arXiv:1702.02170

How to evaluate word embeddings? on importance of data efficiency and simple supervised tasks

Jastrzebski Stanis\law, Le\ sniak Damian, Czarnecki Wojciech Marian

TFML 2017

On loss functions for deep neural networks in classification

Janocha Katarzyna, Czarnecki Wojciech Marian

ICML 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces

Czarnecki Wojciech Marian, \ Swirszcz Grzegorz, Jaderberg Max, Osindero Simon, Vinyals Oriol, Kavukcuoglu Koray

NIPS 2017

Sobolev Training for Neural Networks

Czarnecki Wojciech Marian, Osindero Simon, Jaderberg Max, \ Swirszcz Grzegorz, Pascanu Razvan

AAMAS 2018

Value-decomposition networks for cooperative multi-agent learning

Sunehag Peter, Lever Guy, Gruslys Audrunas, Czarnecki Wojciech Marian, Zambaldi Vinicius, Jaderberg Max, Lanctot Marc, Sonnerat Nicolas, Leibo Joel Z, Tuyls Karl, others

NIPS 2017

Distral: Robust Multitask Reinforcement Learning

Teh Yee Whye, Bapst Victor, Czarnecki Wojciech Marian, Quan John, Kirkpatrick James, Hadsell Raia, Heess Nicolas, Pascanu Razvan

arXiv preprint arXiv:1711.09846

Population based training of neural networks

Jaderberg Max, Dalibard Valentin, Osindero Simon, Czarnecki Wojciech M, Donahue Jeff, Razavi Ali, Vinyals Oriol, Green Tim, Dunning Iain, Simonyan Karen, others

CoRR abs/1706.06551

Grounded language learning in a simulated 3d world

Hermann Karl Moritz, Hill Felix, Green Simon, Wang Fumin, Faulkner Ryan, Soyer Hubert, Szepesvari David, Czarnecki Wojciech Marian, Jaderberg Max, Teplyashin Denis, others

ICLR 2017

Reinforcement learning with auxiliary tasks

Mnih Volodymyr, Czarnecki Wojciech , Jaderberg Maxwell Elliot, Schaul Tom, Silver David, Kavukcuoglu Koray

2016

ICLR 2016 Workshop track

Learning to SMILE (s)

Jastrzebski Stanislaw, Lesniak Damian, Czarnecki Wojciech Marian

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

Online extreme entropy machines for streams classification and active learning

Czarnecki Wojciech Marian, Tabor Jacek

arXiv preprint arXiv:1611.06310

Local minima in training of neural networks

Swirszcz Grzegorz, Czarnecki Wojciech Marian, Pascanu Razvan

GLISTEN Erlangen 2016 Conference

Teaching an old dog new tricks - optimized fingerprint as a basis for new compounds formation

Podlewska Sabina, Czarnecki Wojciech M, Kafel Rafa\l, Bojarski Andrzej J

2015

Bioorganic & medicinal chemistry letters

Exploiting uncertainty measures in compounds activity prediction using support vector machines

Smusz Sabina, Czarnecki Wojciech Marian, Warszycki Dawid, Bojarski Andrzej J

Schedae Informaticae

On the consistency of Multithreshold Entropy Linear Classifier

Czarnecki Wojciech Marian

Schedae Informaticae

Fast optimization of Multithreshold Entropy Linear Classifier

J\ ozefowicz Rafa\l, Czarnecki Wojciech Marian

Schedae Informaticae

Analysis of compounds activity concept learned by SVM using robust Jaccard based low-dimensional embedding

Jastrz\kebski Stanis\law, Czarnecki Wojciech Marian

Expert Systems with Applications

Multithreshold entropy linear classifier: Theory and applications

Czarnecki Wojciech Marian, Tabor Jacek

ECML PKDD 2015

Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation

Czarnecki Wojciech Marian, J\ ozefowicz Rafa\l, Tabor Jacek

International Conference on Artificial Intelligence and Soft Computing

Adaptive Active Learning with Ensemble of Learners and Multiclass Problems

Czarnecki Wojciech Marian

IEEE Computational Intelligence Magazine

Weighted tanimoto extreme learning machine with case study in drug discovery

Czarnecki Wojciech Marian

Journal of Cheminformatics

Robust optimization of SVM hyperparameters in the classification of bioactive compounds

Czarnecki Wojciech M, Podlewska Sabina, Bojarski Andrzej

Trustcom/BigDataSE/ISPA 2015 IEEE

Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM

Czarnecki Wojciech Marian, Rataj Krzysztof

ECML-PKDD 2015 2nd Workshop on Machine Learning in Life Sciences

Active Learning of Compounds Activity--Towards Scientifically Sound Simulation of Drug Candidates Identification

Czarnecki Wojciech Marian, Jastrzebski Stanisaw, Sieradzki Igor, Podlewska Sabina

Molecules

Extremely randomized machine learning methods for compound activity prediction

Czarnecki Wojciech , Podlewska Sabina, Bojarski Andrzej

Renyi s quadratic entropy in classification

Czarnecki Wojciech

2014

Man-Machine Interactions 3

InFeST--ImageJ Plugin for Rapid Development of Image Segmentation Pipelines

Czarnecki Wojciech Marian

Journal of Automation Mobile Robotics & Intelligent Systems

Designing a competition for autonomous robots with a restricted set of sensors with case study of LEGO NXT

Czarnecki Wojciech Marian, Szarzy\ nski Krzysztof, W\ ojtowicz Andrzej

Expert Systems with Applications

Two ellipsoid Support Vector Machines

Czarnecki Wojciech Marian, Tabor Jacek

arXiv preprint arXiv:1408.2869

Cluster based RBF Kernel for Support Vector Machines

Czarnecki Wojciech Marian, Tabor Jacek

GPCR Spring Conference 2014

Uncertainty of the in vitro experiments in the construction of predictive models

Smusz Sabina, Czarnecki Wojciech , Warszycki Dawid, Bojarski Andrzej J

Frontiers in Artificial Intelligence and Applications

Adaptive Active Learning as a Multi-armed Bandit Problem

Czarnecki Wojciech M., Podolak Igor T.

ECML-PKDD 2014 Neural Connectomics Workshop From Imaging to Connectivity

Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features

Czarnecki WM, J\ ozefowicz R

Schedae Informaticae

Fast optimization of multithreshold entropy linear classifier

Rafa\l J\

arXiv preprint arXiv:1408.1054

Multithreshold entropy linear classifier

Czarnecki Wojciech Marian, Tabor Jacek

2013

IFIP International Conference on Computer Information Systems and Industrial Management

Machine Learning with Known Input Data Uncertainty Measure

Czarnecki Wojciech M, Podolak Igor T

2012

Artificial Intelligence and Soft Computing

Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem

Czarnecki Wojciech