8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 8 cited
Scalable Multi-Agent Model-Based Reinforcement Learning
Vladimir Egorov, Aleksei Shpilman
Recent Multi-Agent Reinforcement Learning (MARL) literature has been largely focused on Centralized Training with Decentralized Execution (CTDE) paradigm. CTDE has been a dominant…
q-bio.BM2021★ 1 cited
Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction
Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva +3
Predicting a structure of an antibody from its sequence is important since it allows for a better design process of synthetic antibodies that play a vital role in the health indust…
cs.AI2021
Maximum Entropy Model-based Reinforcement Learning
Oleg Svidchenko, Aleksei Shpilman
Recent advances in reinforcement learning have demonstrated its ability to solve hard agent-environment interaction tasks on a super-human level. However, the application of reinfo…