1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.RO2026
Task-Space Imitation Guidance for Efficient Reinforcement Learning
Salar Asayesh, Hossein Darani, Todd Cao +2
We introduce Task-Space Imitation Guidance for Efficient Reinforcement Learning (TIGER), a reward-construction and pretraining framework for sparse-reward tabletop robotic manipula…
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…