| Showing your offline reinforcement learning work: Online evaluation budget matters V Kurenkov, S Kolesnikov International Conference on Machine Learning, 11729-11752, 2022 | 15 | 2022 |
| CORL: Research-oriented Deep Offline Reinforcement Learning Library D Tarasov, A Nikulin, D Akimov, V Kurenkov, S Kolesnikov arXiv preprint arXiv:2210.07105, 2022 | 4 | 2022 |
| Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows D Akimov, V Kurenkov, A Nikulin, D Tarasov, S Kolesnikov arXiv preprint arXiv:2211.11096, 2022 | 2 | 2022 |
| Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size A Nikulin, V Kurenkov, D Tarasov, D Akimov, S Kolesnikov arXiv preprint arXiv:2211.11092, 2022 | 2 | 2022 |
| Learning stabilizing control policies for a tensegrity hopper with augmented random search V Kurenkov, H Hamed, S Savin 2020 International Conference on Industrial Engineering, Applications and …, 2020 | 2 | 2020 |
| Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order V Kurenkov, B Maksudov, A Khan arXiv preprint arXiv:1910.12354, 2019 | 2 | 2019 |
| Anti-Exploration by Random Network Distillation A Nikulin, V Kurenkov, D Tarasov, S Kolesnikov arXiv preprint arXiv:2301.13616, 2023 | | 2023 |
| Guiding Evolutionary Strategies by Differentiable Robot Simulators V Kurenkov, B Maksudov arXiv preprint arXiv:2110.00438, 2021 | | 2021 |
| Mathematical modelling of tensegrity robots with rigid rods SI Savin, LI Vorochaeva, VV Kurenkov Computer research and modeling 12 (4), 821-830, 2020 | | 2020 |
| Revisiting Behavior Regularized Actor-Critic D Tarasov, V Kurenkov, A Nikulin, S Kolesnikov Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 0 | | |
| Prompts and Pre-Trained Language Models for Offline Reinforcement Learning D Tarasov, V Kurenkov, S Kolesnikov ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 0 | | |
Sergey KolesnikovTinkoffVerified email at tinkoff.ai
