29 citations · 33 across the 2 of their papers we have counts for
2 papers
eess.SY2021★ 29 cited
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces
Kyle R. Williams, Rachel Schlossman, Daniel Whitten +8
This paper presents a technique for trajectory planning based on continuously parameterized high-level actions (motion primitives) of variable duration. This technique leverages de…
cs.MA2021★ 4 cited
Heterogeneous Graph Attention Networks for Learning Diverse Communication
Esmaeil Seraj, Zheyuan Wang, Rohan Paleja +3
Multi-agent teaming achieves better performance when there is communication among participating agents allowing them to coordinate their actions for maximizing shared utility. Howe…