most citedAn End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2023

Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments

Engin Tekin, Elaheh Barati, Nitin Kamra +1

Many real-world tasks, from house-cleaning to cooking, can be formulated as multi-object rearrangement problems -- where an agent needs to get specific objects into appropriate goa…

cs.RO2020★ 6 cited

An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space

Majid Moghadam, Ali Alizadeh, Engin Tekin +1

Tactical decision making and strategic motion planning for autonomous highway driving are challenging due to the complication of predicting other road users' behaviors, diversity o…