2 citations · 2 across the 2 of their papers we have counts for
3 papers
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
Vasilii Davydov, Alexey Skrynnik, Konstantin Yakovlev +1
In this paper, we consider the problem of multi-agent navigation in partially observable grid environments. This problem is challenging for centralized planning approaches as they,…
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov +3
Currently, deep reinforcement learning (RL) shows impressive results in complex gaming and robotic environments. Often these results are achieved at the expense of huge computation…
Hierarchical Deep Q-Network from Imperfect Demonstrations in Minecraft
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov +3
We present Hierarchical Deep Q-Network (HDQfD) that took first place in the MineRL competition. HDQfD works on imperfect demonstrations and utilizes the hierarchical structure of e…