most citedLeast-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control

1 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2023★ 1 cited

Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control

Salar Asayesh, Hossein Sheikhi Darani, Mo chen +2

Classical pixel-based Visual Servoing (VS) approaches offer high accuracy but suffer from a limited convergence area due to optimization nonlinearity. Modern deep learning-based VS…

cs.RO2021★ 1 cited

Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control

Salar Asayesh, Mo Chen, Mehran Mehrandezh +1

Multi-agent collision-free trajectory planning and control subject to different goal requirements and system dynamics has been extensively studied, and is gaining recent attention…