Wojciech Czarnecki

According to our database, Wojciech Czarnecki authored at least 65 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning.

Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals

CoRR, 2023

Exploring the Space of Key-Value-Query Models with Intention.

Marta Garnelo, Wojciech Marian Czarnecki

CoRR, 2023

On the Limitations of the Elo, Real-World Games are Transitive, not Additive.

Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football".

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Dataset, August, 2022

From motor control to team play in simulated humanoid football.

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Sci. Robotics, 2022

Behavior Priors for Efficient Reinforcement Learning.

Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess

J. Mach. Learn. Res., 2022

2021

Open-Ended Learning Leads to Generally Capable Agents.

Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki

CoRR, 2021

A study on the plasticity of neural networks.

Tudor Berariu, Wojciech Czarnecki, Soham De, Jörg Bornschein, Samuel L. Smith, Razvan Pascanu, Claudia Clopath

CoRR, 2021

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.

Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning.

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

CoRR, 2020

Navigating the Landscape of Games.

Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome T. Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos

CoRR, 2020

Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach

CoRR, 2020

Negotiating team formation using deep reinforcement learning.

Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

Artif. Intell., 2020

Discovering Reinforcement Learning Algorithms.

Junhyuk Oh, Matteo Hessel, Wojciech M. Czarnecki, Zhongwen Xu, Hado van Hasselt, Satinder Singh, David Silver

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Real World Games Look Like Spinning Tops.

Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multiplicative Interactions and Where to Find Them.

Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu

Proceedings of the 8th International Conference on Learning Representations, 2020

Smooth markets: A basic mechanism for organizing gradient-based learners.

David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Grandmaster level in StarCraft II using multi-agent reinforcement learning.

Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver

Nat., 2019

A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern.

Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg

CoRR, 2019

α-Rank: Multi-Agent Evaluation by Evolution.

Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos

CoRR, 2019

Open-ended learning in symmetric zero-sum games.

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

Proceedings of the 36th International Conference on Machine Learning, 2019

Information asymmetry in KL-regularized RL.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

Evolving Intrinsic Motivations for Altruistic Behavior.

Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Distilling Policy Distillation.

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

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Multi-Task Deep Reinforcement Learning with PopArt.

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adapting Auxiliary Losses Using Gradient Similarity.

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

CoRR, 2018

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.

Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel

CoRR, 2018

Kickstarting Deep Reinforcement Learning.

Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami

CoRR, 2018

Progress & Compress: A scalable framework for continual learning.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Mix & Match Agent Curricula for Reinforcement Learning.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.

Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Extreme entropy machines: robust information theoretic classification.

Wojciech Marian Czarnecki, Jacek Tabor

Pattern Anal. Appl., 2017

Creating the New from the Old: Combinatorial Libraries Generation with Machine-Learning-Based Compound Structure Optimization.

Sabina Podlewska, Wojciech M. Czarnecki, Rafal Kafel, Andrzej J. Bojarski

J. Chem. Inf. Model., 2017

Population Based Training of Neural Networks.

Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu

CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel

CoRR, 2017

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

Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki

CoRR, 2017

On Loss Functions for Deep Neural Networks in Classification.

Katarzyna Janocha, Wojciech Marian Czarnecki

CoRR, 2017

Grounded Language Learning in a Simulated 3D World.

Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom

CoRR, 2017

Distral: Robust multitask reinforcement learning.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sobolev Training for Neural Networks.

Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decoupled Neural Interfaces using Synthetic Gradients.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Reinforcement Learning with Unsupervised Auxiliary Tasks.

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

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Local minima in training of deep networks.

Grzegorz Swirszcz, Wojciech Marian Czarnecki, Razvan Pascanu

CoRR, 2016

Learning to SMILE(S).

Stanislaw Jastrzebski, Damian Lesniak, Wojciech Marian Czarnecki

CoRR, 2016

Decoupled Neural Interfaces using Synthetic Gradients.

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

CoRR, 2016

2015

Robust optimization of SVM hyperparameters in the classification of bioactive compounds.

Wojciech M. Czarnecki, Sabina Podlewska, Andrzej J. Bojarski

J. Cheminformatics, 2015

Multithreshold Entropy Linear Classifier: Theory and applications.

Wojciech Marian Czarnecki, Jacek Tabor

Expert Syst. Appl., 2015

Fast optimization of Multithreshold Entropy Linear Classifier.

Rafal Józefowicz, Wojciech Marian Czarnecki

CoRR, 2015

On the consistency of Multithreshold Entropy Linear Classifier.

Wojciech Marian Czarnecki

CoRR, 2015

Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery.

Wojciech Marian Czarnecki

IEEE Comput. Intell. Mag., 2015

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

Wojciech Marian Czarnecki, Krzysztof Rataj

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation.

Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Adaptive Active Learning with Ensemble of Learners and Multiclass Problems.

Wojciech Marian Czarnecki

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Online Extreme Entropy Machines for Streams Classification and Active Learning.

Wojciech Marian Czarnecki, Jacek Tabor

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

2014

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

Wojciech Czarnecki, Krzysztof Szarzynski, Andrzej Wójtowicz

J. Autom. Mob. Robotics Intell. Syst., 2014

Two ellipsoid Support Vector Machines.

Wojciech Marian Czarnecki, Jacek Tabor

Expert Syst. Appl., 2014

Cluster based RBF Kernel for Support Vector Machines.

Wojciech Marian Czarnecki, Jacek Tabor

CoRR, 2014

Multithreshold Entropy Linear Classifier.

Wojciech Marian Czarnecki, Jacek Tabor

CoRR, 2014

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

Wojciech M. Czarnecki, Rafal Józefowicz

Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

Adaptive Active Learning as a Multi-armed Bandit Problem.

Wojciech M. Czarnecki, Igor T. Podolak

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

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

Wojciech Marian Czarnecki

Proceedings of the Man-Machine Interactions 3, 2013

Machine Learning with Known Input Data Uncertainty Measure.

Wojciech M. Czarnecki, Igor T. Podolak

Proceedings of the Computer Information Systems and Industrial Management, 2013

2012

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

Wojciech Czarnecki

Proceedings of the Artificial Intelligence and Soft Computing, 2012