Local Bayesian Optimization of Motor Skills. - Riad Akrour; Dmitry Sorokin; Jan Peters 001; Gerhard Neumann (ICML, 2017)

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)

TreeDQN: Learning to minimize Branch-and-Bound tree. - Dmitry Sorokin; Alexander Kostin (CoRR, 2023)

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Ivan Rodkin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (NeurIPS, 2024)

In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss. - Yuri Kuratov; Aydar Bulatov; Petr Anokhin; Dmitry Sorokin; Artyom Y. Sorokin; Mikhail Burtsev 001 (CoRR, 2024)