2026 Wojciech Marian Czarnecki: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	34	863	860	141	140	80	12950
Computer Science	34	11899	11555	4851	4636	90	10305

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Wojciech Marian Czarnecki is affiliated with Google in the United States and has contributed extensively to the field of computer science, with a strong focus on artificial intelligence. Their research spans multiple subfields including artificial intelligence, economics and econometrics, management science and operations research, safety research, and sociology and political science.

Their recent publications demonstrate a consistent engagement with topics related to reinforcement learning, robotics, and multi-agent systems. Notable papers include:

Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver, 2023, arXiv (Cornell University)
Distral: Robust Multitask Reinforcement Learning, 2025, Oxford University Research Archive (ORA) (University of Oxford)
From motor control to team play in simulated humanoid football, 2022, Science Robotics
Discovering Reinforcement Learning Algorithms, 2020, arXiv (Cornell University)
Open-Ended Learning Leads to Generally Capable Agents, 2021, arXiv (Cornell University)

Their work frequently appears in the following publication venues:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Science Robotics
Artificial Intelligence
Oxford University Research Archive (ORA) (University of Oxford)

Research topics covered by Czarnecki include:

Reinforcement Learning in Robotics
Sports Analytics and Performance
Adversarial Robustness in Machine Learning
Artificial Intelligence in Games
Data Stream Mining Techniques
Multi-Agent Systems and Negotiation
Experimental Behavioral Economics Studies

Frequent coauthors include Thore Graepel, Karl Tuyls, Nicolas Heess, Guy Lever, and Shayegan Omidshafiei, indicating collaboration networks that span expertise in machine learning and artificial intelligence.

Their research contributes predominantly to the areas of reinforcement learning and robotics, with applications extending to sports analytics and multi-agent systems. These interdisciplinary engagements reflect an integration of computational methods with behavioral and economic studies.

Best Publications

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

Oriol Vinyals;Igor Babuschkin;Wojciech M. Czarnecki;Michaël Mathieu

3527
Citations
Reinforcement Learning with Unsupervised Auxiliary Tasks

Max Jaderberg;Volodymyr Mnih;Wojciech Marian Czarnecki;Tom Schaul

1011
Citations
On Loss Functions for Deep Neural Networks in Classification

Katarzyna Janocha;Wojciech Marian Czarnecki

717
Citations
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning.

Max Jaderberg;Wojciech M. Czarnecki;Iain Dunning;Luke Marris

591
Citations
Value-Decomposition Networks For Cooperative Multi-Agent Learning

Peter Sunehag;Guy Lever;Audrunas Gruslys;Wojciech Marian Czarnecki

565
Citations
Population based training of neural networks

Maxwell Elliot Jaderberg;Wojciech Czarnecki;Timothy Frederick Goldie Green;Valentin Clement Dalibard

508
Citations
Human-level performance in 3D multiplayer games with population-based reinforcement learning

Max Jaderberg;Wojciech M. Czarnecki;Iain Dunning;Luke Marris

481
Citations
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward

Peter Sunehag;Guy Lever;Audrunas Gruslys;Wojciech Marian Czarnecki

436
Citations
Distral: robust multitask reinforcement learning

Yee Whye Teh;Victor Bapst;Wojciech Marian Czarnecki;John Quan

377
Citations
Progress & Compress: A scalable framework for continual learning

Jonathan Schwarz;Jelena Luketina;Wojciech M. Czarnecki;Agnieszka Grabska-Barwinska

377
Citations
Progress & Compress: A scalable framework for continual learning

Jonathan Schwarz;Wojciech Czarnecki;Jelena Luketina;Agnieszka Grabska-Barwinska

357
Citations
Population Based Training of Neural Networks

Unknown

265
Citations
Decoupled neural interfaces using synthetic gradients

Max Jaderberg;Wojciech Marian Czarnecki;Simon Osindero;Oriol Vinyals

252
Citations
Grounded Language Learning in a Simulated 3D World

Karl Moritz Hermann;Felix Hill;Simon Green;Fumin Wang

249
Citations
Multi-task Deep Reinforcement Learning with PopArt

Matteo Hessel;Hubert Soyer;Lasse Espeholt;Wojciech Czarnecki

223
Citations
Distral: Robust Multitask Reinforcement Learning

Yee Whye Teh;Victor Bapst;Wojciech Marian Czarnecki;John Quan

160
Citations
Adapting Auxiliary Losses Using Gradient Similarity

Yunshu Du;Wojciech M. Czarnecki;Siddhant M. Jayakumar;Razvan Pascanu

123
Citations
Sobolev Training for Neural Networks

Wojciech Marian Czarnecki;Simon Osindero;Max Jaderberg;Grzegorz Swirszcz

114
Citations
α-Rank: Multi-Agent Evaluation by Evolution.

Shayegan Omidshafiei;Christos H. Papadimitriou;Georgios Piliouras;Karl Tuyls

100
Citations
On Loss Functions for Deep Neural Networks in Classification

Katarzyna Janocha;Wojciech Marian Czarnecki

94
Citations
Decoupled Neural Interfaces using Synthetic Gradients

Max Jaderberg;Wojciech Marian Czarnecki;Simon Osindero;Oriol Vinyals

82
Citations
Kickstarting Deep Reinforcement Learning

Simon Schmitt;Jonathan J. Hudson;Augustin Zidek;Simon Osindero

76
Citations
From Motor Control to Team Play in Simulated Humanoid Football.

Siqi Liu;Guy Lever;Zhe Wang;Josh Merel

75
Citations
Open-ended learning in symmetric zero-sum games

David Balduzzi;Marta Garnelo;Yoram Bachrach;Wojciech M. Czarnecki

73
Citations
Multiplicative Interactions and Where to Find Them

Siddhant M. Jayakumar;Jacob Menick;Wojciech M. Czarnecki;Jonathan Schwarz

63
Citations
Distilling Policy Distillation

Wojciech Marian Czarnecki;Razvan Pascanu;Simon Osindero;Siddhant M. Jayakumar

57
Citations
Discovering Reinforcement Learning Algorithms

Junhyuk Oh;Matteo Hessel;Wojciech M. Czarnecki;Zhongwen Xu

57
Citations

Frequent Co-Authors

Razvan Pascanu DeepMind (United Kingdom)

Joel Z. Leibo DeepMind (United Kingdom)

Thore Graepel University College London

Koray Kavukcuoglu DeepMind (United Kingdom)

Karl Tuyls DeepMind (United Kingdom)

David Silver DeepMind (United Kingdom)

Yoram Bachrach DeepMind (United Kingdom)

Yee Whye Teh University of Oxford

Nicolas Heess DeepMind (United Kingdom)

Rémi Munos French Institute for Research in Computer Science and Automation - INRIA

External Links

Personal website of Wojciech Marian Czarnecki

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