Multilayer Neural Networks with Receptive Fields as a Model for the Neuron Reconstruction Problem. - Wojciech Czarnecki 001 (ICAISC (2), 2012)

Machine Learning with Known Input Data Uncertainty Measure. - Wojciech M. Czarnecki; Igor T. Podolak (CISIM, 2013)

InFeST - ImageJ Plugin for Rapid Development of Image Segmentation Pipelines. - Wojciech Marian Czarnecki (ICMMI, 2013)

Adaptive Active Learning as a Multi-armed Bandit Problem. - Wojciech M. Czarnecki; Igor T. Podolak (ECAI, 2014)

Neural Connectivity Reconstruction from Calcium Imaging Signal using Random Forest with Topological Features. - Wojciech M. Czarnecki; Rafal Józefowicz (Neural Connectomics, 2014)

Multithreshold Entropy Linear Classifier. - Wojciech Marian Czarnecki; Jacek Tabor (CoRR, 2014)

Cluster based RBF Kernel for Support Vector Machines. - Wojciech Marian Czarnecki; Jacek Tabor (CoRR, 2014)

Two ellipsoid Support Vector Machines. - Wojciech Marian Czarnecki; Jacek Tabor (Expert Syst. Appl., 2014)

Designing a competition for autonomous robots with a restricted set of sensors with a case study of LEGO NXT. - Wojciech Czarnecki 001; Krzysztof Szarzynski; Andrzej Wójtowicz (J. Autom. Mob. Robotics Intell. Syst., 2014)

Online Extreme Entropy Machines for Streams Classification and Active Learning. - Wojciech Marian Czarnecki; Jacek Tabor (CORES, 2015)

Adaptive Active Learning with Ensemble of Learners and Multiclass Problems. - Wojciech Marian Czarnecki (ICAISC (1), 2015)

Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation. - Wojciech Marian Czarnecki; Rafal Józefowicz; Jacek Tabor (ECML/PKDD (1), 2015)

Compounds Activity Prediction in Large Imbalanced Datasets with Substructural Relations Fingerprint and EEM. - Wojciech Marian Czarnecki; Krzysztof Rataj (TrustCom/BigDataSE/ISPA (2), 2015)

Weighted Tanimoto Extreme Learning Machine with Case Study in Drug Discovery. - Wojciech Marian Czarnecki (IEEE Comput. Intell. Mag., 2015)

On the consistency of Multithreshold Entropy Linear Classifier. - Wojciech Marian Czarnecki (CoRR, 2015)

Fast optimization of Multithreshold Entropy Linear Classifier. - Rafal Józefowicz; Wojciech Marian Czarnecki (CoRR, 2015)

Multithreshold Entropy Linear Classifier: Theory and applications. - Wojciech Marian Czarnecki; Jacek Tabor (Expert Syst. Appl., 2015)

Robust optimization of SVM hyperparameters in the classification of bioactive compounds. - Wojciech M. Czarnecki; Sabina Podlewska; Andrzej J. Bojarski (J. Cheminformatics, 2015)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

Learning to SMILE(S). - Stanislaw Jastrzebski; Damian Lesniak; Wojciech Marian Czarnecki (CoRR, 2016)

Local minima in training of deep networks. - Grzegorz Swirszcz; Wojciech Marian Czarnecki; Razvan Pascanu (CoRR, 2016)

Reinforcement Learning with Unsupervised Auxiliary Tasks. - Max Jaderberg; Volodymyr Mnih; Wojciech Marian Czarnecki; Tom Schaul; Joel Z. Leibo; David Silver; Koray Kavukcuoglu (ICLR, 2017)

Understanding Synthetic Gradients and Decoupled Neural Interfaces. - Wojciech Marian Czarnecki; Grzegorz Swirszcz; Max Jaderberg; Simon Osindero; Oriol Vinyals; Koray Kavukcuoglu (ICML, 2017)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; David Silver; Koray Kavukcuoglu (ICML, 2017)

Sobolev Training for Neural Networks. - Wojciech M. Czarnecki; Simon Osindero; Max Jaderberg; Grzegorz Swirszcz; Razvan Pascanu (NIPS, 2017)

Distral: Robust multitask reinforcement learning. - Yee Whye Teh; Victor Bapst; Wojciech M. Czarnecki; John Quan; James Kirkpatrick; Raia Hadsell; Nicolas Heess; Razvan Pascanu (NIPS, 2017)

Grounded Language Learning in a Simulated 3D World. - Karl Moritz Hermann; Felix Hill; Simon Green; Fumin Wang; Ryan Faulkner 001; Hubert Soyer; David Szepesvari; Wojciech Marian Czarnecki; Max Jaderberg; Denis Teplyashin; Marcus Wainwright; Chris Apps; et al. (CoRR, 2017)

On Loss Functions for Deep Neural Networks in Classification. - Katarzyna Janocha; Wojciech Marian Czarnecki (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)

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)

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)

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)

Extreme entropy machines: robust information theoretic classification. - Wojciech Marian Czarnecki; Jacek Tabor (Pattern Anal. Appl., 2017)

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 (AAMAS, 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 (ICML, 2018)

Progress & Compress: A scalable framework for continual learning. - Jonathan Schwarz; Wojciech Czarnecki 001; Jelena Luketina; Agnieszka Grabska-Barwinska; Yee Whye Teh; Razvan Pascanu; Raia Hadsell (ICML, 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)

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; et al. (CoRR, 2018)

Adapting Auxiliary Losses Using Gradient Similarity. - Yunshu Du; Wojciech M. Czarnecki; Siddhant M. Jayakumar; Razvan Pascanu; Balaji Lakshminarayanan (CoRR, 2018)

Multi-Task Deep Reinforcement Learning with PopArt. - Matteo Hessel; Hubert Soyer; Lasse Espeholt; Wojciech Czarnecki 001; Simon Schmitt; Hado van Hasselt (AAAI, 2019)

Distilling Policy Distillation. - Wojciech M. Czarnecki; Razvan Pascanu; Simon Osindero; Siddhant M. Jayakumar; Grzegorz Swirszcz; Max Jaderberg (AISTATS, 2019)

Evolving Intrinsic Motivations for Altruistic Behavior. - Jane X. Wang; Edward Hughes 001; Chrisantha Fernando; Wojciech M. Czarnecki; Edgar A. Duéñez-Guzmán; Joel Z. Leibo (AAMAS, 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 (ICLR (Poster), 2019)

Open-ended learning in symmetric zero-sum games. - David Balduzzi; Marta Garnelo; Yoram Bachrach; Wojciech Czarnecki 001; Julien Pérolat; Max Jaderberg; Thore Graepel (ICML, 2019)

α-Rank: Multi-Agent Evaluation by Evolution. - Shayegan Omidshafiei; Christos H. Papadimitriou; Georgios Piliouras; Karl Tuyls; Mark Rowland 001; Jean-Baptiste Lespiau; Wojciech M. Czarnecki; Marc Lanctot; Julien Pérolat; Rémi Munos (CoRR, 2019)

A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. - Wojciech Marian Czarnecki; Simon Osindero; Razvan Pascanu; Max Jaderberg (CoRR, 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; et al. (Nat., 2019)

Smooth markets: A basic mechanism for organizing gradient-based learners. - David Balduzzi; Wojciech M. Czarnecki; Tom Anthony 001; Ian Gemp; Edward Hughes 001; Joel Z. Leibo; Georgios Piliouras; Thore Graepel (ICLR, 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 (ICLR, 2020)

Real World Games Look Like Spinning Tops. - Wojciech M. Czarnecki; Gauthier Gidel; Brendan D. Tracey; Karl Tuyls; Shayegan Omidshafiei; David Balduzzi; Max Jaderberg (NeurIPS, 2020)

Discovering Reinforcement Learning Algorithms. - Junhyuk Oh; Matteo Hessel; Wojciech M. Czarnecki; Zhongwen Xu; Hado van Hasselt; Satinder Singh 001; David Silver (NeurIPS, 2020)

Negotiating team formation using deep reinforcement learning. - Yoram Bachrach; Richard Everett 001; Edward Hughes 001; Angeliki Lazaridou; Joel Z. Leibo; Marc Lanctot; Michael Johanson; Wojciech M. Czarnecki; Thore Graepel (Artif. Intell., 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)

Navigating the Landscape of Games. - Shayegan Omidshafiei; Karl Tuyls; Wojciech M. Czarnecki; Francisco C. Santos; Mark Rowland 001; Jerome T. Connor; Daniel Hennes; Paul Muller; Julien Pérolat; Bart De Vylder; Audrunas Gruslys; Rémi Munos (CoRR, 2020)

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning. - Adam Stooke; Valentin Dalibard; Siddhant M. Jayakumar; Wojciech M. Czarnecki; Max Jaderberg (CoRR, 2020)

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 001; Marta Garnelo; Yoram Bachrach (AISTATS, 2021)

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. - Marta Garnelo; Wojciech Marian Czarnecki; Siqi Liu 002; Dhruva Tirumala; Junhyuk Oh; Gauthier Gidel; Hado van Hasselt; David Balduzzi (AAMAS, 2021)

A study on the plasticity of neural networks. - Tudor Berariu; Wojciech Czarnecki 001; Soham De; Jörg Bornschein; Samuel L. Smith; Razvan Pascanu; Claudia Clopath (CoRR, 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; et al. (CoRR, 2021)

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)

From motor control to team play in simulated humanoid football. - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech M. Czarnecki; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Sci. Robotics, 2022)

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". - Siqi Liu 002; Guy Lever; Zhe Wang 055; Josh Merel; S. M. Ali Eslami; Daniel Hennes; Wojciech Czarnecki 001; Yuval Tassa; Shayegan Omidshafiei; Abbas Abdolmaleki; Noah Y. Siegel; Leonard Hasenclever; et al. (Zenodo, 2022)

On the Limitations of the Elo, Real-World Games are Transitive, not Additive. - Quentin Bertrand; Wojciech Marian Czarnecki; Gauthier Gidel (AISTATS, 2023)

Exploring the Space of Key-Value-Query Models with Intention. - Marta Garnelo; Wojciech Marian Czarnecki (CoRR, 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; et al. (CoRR, 2023)