Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters. - Lucas Beyer; Stefan Breuers; Vitaly Kurin; Bastian Leibe (CVPR Workshops, 2017)

The Atari Grand Challenge Dataset. - Vitaly Kurin; Sebastian Nowozin; Katja Hofmann; Lucas Beyer; Bastian Leibe (CoRR, 2017)

CAML: Fast Context Adaptation via Meta-Learning. - Luisa M. Zintgraf; Kyriacos Shiarlis; Vitaly Kurin; Katja Hofmann; Shimon Whiteson (CoRR, 2018)

Fast Context Adaptation via Meta-Learning. - Luisa M. Zintgraf; Kyriacos Shiarlis; Vitaly Kurin; Katja Hofmann; Shimon Whiteson (ICML, 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 (ICRA, 2019)

Fast Efficient Hyperparameter Tuning for Policy Gradient Methods. - Supratik Paul; Vitaly Kurin; Shimon Whiteson (NeurIPS, 2019)

Fast Efficient Hyperparameter Tuning for Policy Gradients. - Supratik Paul; Vitaly Kurin; Shimon Whiteson (CoRR, 2019)

Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning. - Vitaly Kurin; Saad Godil; Shimon Whiteson; Bryan Catanzaro (CoRR, 2019)

Deep Coordination Graphs. - Wendelin Boehmer; Vitaly Kurin; Shimon Whiteson (ICML, 2020)

Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? - Vitaly Kurin; Saad Godil; Shimon Whiteson; Bryan Catanzaro (NeurIPS, 2020)

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. - Vitaly Kurin; Maximilian Igl; Tim Rocktäschel; Wendelin Boehmer; Shimon Whiteson (ICLR, 2021)

Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing. - Charlie Blake; Vitaly Kurin; Maximilian Igl; Shimon Whiteson (NeurIPS, 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 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 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 (NeurIPS Datasets and Benchmarks, 2021)

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; et al. (LoG, 2022)

In Defense of the Unitary Scalarization for Deep Multi-Task Learning. - Vitaly Kurin; Alessandro De Palma; Ilya Kostrikov; Shimon Whiteson; Pawan Kumar Mudigonda (NeurIPS, 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)

You May Not Need Ratio Clipping in PPO. - Mingfei Sun 001; Vitaly Kurin; Guoqing Liu; Sam Devlin; Tao Qin 001; Katja Hofmann; Shimon Whiteson (CoRR, 2022)

A minimalist approach to deep multi-task learning. - Vitaly Kurin (2022)