most citedTowards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2023★ 4 cited

Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach

Iman Sharifi, Mustafa Yildirim, Saber Fallah

The dynamic nature of driving environments and the presence of diverse road users pose significant challenges for decision-making in autonomous driving. Deep reinforcement learning…