Vitaly Kurin

According to our database, Vitaly Kurin authored at least 19 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A minimalist approach to deep multi-task learning.

Vitaly Kurin

PhD thesis, 2022

You May Not Need Ratio Clipping in PPO.

Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson

CoRR, 2022

In Defense of the Unitary Scalarization for Deep Multi-Task Learning.

Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar

CoRR, 2022

In Defense of the Unitary Scalarization for Deep Multi-Task Learning.

Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Generalist Neural Algorithmic Learner.

Borja Ibarz, Vitaly Kurin, George Papamakarios, Kyriacos Nikiforou, Mehdi Bennani, Róbert Csordás, Andrew Joseph Dudzik, Matko Bosnjak, Alex Vitvitskyi, Yulia Rubanova, Andreea Deac, Beatrice Bevilacqua, Yaroslav Ganin, Charles Blundell, Petar Velickovic

Proceedings of the Learning on Graphs Conference, 2022

2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.

Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing.

Charlie Blake, Vitaly Kurin, Maximilian Igl, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.

Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?

Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro

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

Deep Coordination Graphs.

Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning.

Vitaly Kurin, Saad Godil, Shimon Whiteson, Bryan Catanzaro

CoRR, 2019

Fast Efficient Hyperparameter Tuning for Policy Gradients.

Supratik Paul, Vitaly Kurin, Shimon Whiteson

CoRR, 2019

Fast Efficient Hyperparameter Tuning for Policy Gradient Methods.

Supratik Paul, Vitaly Kurin, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning From Demonstration in the Wild.

Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson

Proceedings of the International Conference on Robotics and Automation, 2019

Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

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

2018

CAML: Fast Context Adaptation via Meta-Learning.

Luisa M. Zintgraf, Kyriacos Shiarlis, Vitaly Kurin, Katja Hofmann, Shimon Whiteson

CoRR, 2018

2017

The Atari Grand Challenge Dataset.

Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe

CoRR, 2017

Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters.

Lucas Beyer, Stefan Breuers, Vitaly Kurin, Bastian Leibe

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017