141 citations · 305 across the 10 of their papers we have counts for
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cs.LG2020★ 1 cited
PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network
Pei Xu, Ioannis Karamouzas
Data-driven methods for physics-based character control using reinforcement learning have been successfully applied to generate high-quality motions. However, existing approaches t…
cs.RO2020★ 8 cited
Robot Navigation with Map-Based Deep Reinforcement Learning
Guangda Chen, Lifan Pan, Yu'an Chen +5
This paper proposes an end-to-end deep reinforcement learning approach for mobile robot navigation with dynamic obstacles avoidance. Using experience collected in a simulation envi…