🧑‍🔬 Wojciech Marian Czarnecki

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2016–2022 · 25 papersEmployment since 2016 · Senior Research Scientist🎓Jagiellonian UniversityKrakow · Poland2014–2019 · 25 papersEmployment 2014–2016🏢GoogleMountain View · United States2017–2020 · 10 papers🎓Adam Mickiewicz University in PoznańPoznan · Poland2012–2014 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Progress & Compress: A scalable framework for continual learning (2018 · 338 citations)
   Neural networks that learn tasks one after another tend to lose earlier skills, a problem called catastrophic forgetting.
2. Reinforcement Learning with Unsupervised Auxiliary Tasks (2016 · 319 citations)
   Deep RL agents usually learn only from extrinsic reward, which is often sparse. That leaves most of the information in an agent's observation stream unused. Jaderberg et al. (DeepMind) propose UNREAL (UNsupervised REinforcement and Auxiliary Learning), which extends the A3C actor-critic with extra objectives that…
3. Grounded Language Learning in a Simulated 3D World (2017 · 190 citations)
   Teaching machines to connect words with what they see and do remains a hard problem. Earlier systems such as SHRDLU depended on hand-written rules, and later work mostly used simplified, highly structured settings. This DeepMind paper adds a text-instruction channel to an extended version of DeepMind Lab, a 3D…

All works

11 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Grandmaster level in StarCraft II using multi-agent reinforcement learning ↗Nature · no summary yetOriol Vinyals et al.2019 · 3,577 citations
2. Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗Science · no summary yetMax Jaderberg et al.2019 · 682 citations
3. Progress & Compress: A scalable framework for continual learningarXiv:1805.06370Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, et al.2018 · 338 citations
4. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
5. Population Based Training of Neural Networks ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2017 · 310 citations
6. Multi-Task Deep Reinforcement Learning with PopArt ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMatteo Hessel et al.2019 · 215 citations
7. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
8. Decoupled Neural Interfaces using Synthetic Gradients ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2016 · 100 citations
9. Kickstarting Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetSimon Schmitt et al.2018 · 51 citations
10. Understanding Synthetic Gradients and Decoupled Neural Interfaces ↗arXiv (Cornell University) · no summary yetWojciech Marian Czarnecki et al.2017 · 43 citations
11. AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning ↗arXiv (Cornell University) · no summary yetMichaël Mathieu et al.2023 · 7 citations

🤝 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

• Max Jaderberg ×2
• David Silver
• Denis Teplyashin
• Felix Hill
• Fumin Wang
• Jelena Luketina
• Joel Z Leibo
• Jonathan Schwarz
• Karl Moritz Hermann
• Koray Kavukcuoglu
• Marcus Wainwright
• Razvan Pascanu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Nature
• Proceedings of the AAAI Conference on Artificial Intelligence
• Science

🔗 Cited by

Papers of our library cite their works 515 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

Updated 2 November 2026

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