Alexey Gorbatovski

According to our database, Alexey Gorbatovski authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments.

Lijing Luo, Yiben Luo, Alexey Gorbatovski, Sergey V. Kovalchuk, Xiaodan Liang

CoRR, March, 2026

F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare.

Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov

CoRR, February, 2026

2025

Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors.

Viacheslav Sinii, Nikita Balagansky, Gleb Gerasimov, Daniil Laptev, Yaroslav Aksenov, Vadim Kurochkin, Alexey Gorbatovski, Boris Shaposhnikov, Daniil Gavrilov

CoRR, September, 2025

ESSA: Evolutionary Strategies for Scalable Alignment.

Daria Korotyshova, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, George Bredis, Alexey Gorbatovski, Viacheslav Sinii, Daniil Gavrilov

CoRR, July, 2025

The Differences Between Direct Alignment Algorithms are a Blur.

Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov

CoRR, February, 2025

Learn Your Reference Model for Real Good Alignment.

Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Steering LLM Reasoning Through Bias-Only Adaptation.

Viacheslav Sinii, Alexey Gorbatovski, Artem Cherepanov, Boris Shaposhnikov, Nikita Balagansky, Daniil Gavrilov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Reinforcement Learning for Question Answering in Programming Domain using Public Community Scoring as a Human Feedback.

Alexey Gorbatovski, Sergey V. Kovalchuk

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Linear Transformers with Learnable Kernel Functions are Better In-Context Models.

Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Bayesian Networks for Named Entity Prediction in Programming Community Question Answering.

Alexey Gorbatovski, Sergey V. Kovalchuk

Proceedings of the Computational Science - ICCS 2023, 2023