1 code implementation • 13 Aug 2021 • Vasilii Davydov, Alexey Skrynnik, Konstantin Yakovlev, Aleksandr I. Panov
In this paper, we consider the problem of multi-agent navigation in partially observable grid environments.
1 code implementation • 17 Jun 2020 • Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
There are two main approaches to improving the sample efficiency of reinforcement learning methods - using hierarchical methods and expert demonstrations.
Hierarchical Reinforcement Learning reinforcement-learning +1
1 code implementation • 18 Dec 2019 • Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
We present Hierarchical Deep Q-Network (HDQfD) that took first place in the MineRL competition.