2 citations · 4 across the 4 of their papers we have counts for
5 papers
Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles
Aleksei Staroverov, Muhammad Alhaddad, Aditya Narendra +2
Generalist robot policies must operate safely and reliably in everyday human environments such as homes, offices, and warehouses, where people and objects move unpredictably. We pr…
Neural Potential Field for Obstacle-Aware Local Motion Planning
Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov +1
Model predictive control (MPC) may provide local motion planning for mobile robotic platforms. The challenging aspect is the analytic representation of collision cost for the case…
Landmark Policy Optimization for Object Navigation Task
Aleksey Staroverov, Aleksandr I. Panov
This work studies object goal navigation task, which involves navigating to the closest object related to the given semantic category in unseen environments. Recent works have show…
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…