4 citations · 8 across the 4 of their papers we have counts for
4 papers
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…
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
Elaheh Barati, Xuewen Chen
In reinforcement learning algorithms, leveraging multiple views of the environment can improve the learning of complicated policies. In multi-view environments, due to the fact tha…
Attention-based Deep Reinforcement Learning for Multi-view Environments
Elaheh Barati, Xuewen Chen, Zichun Zhong
In reinforcement learning algorithms, it is a common practice to account for only a single view of the environment to make the desired decisions; however, utilizing multiple views…
Long-term face tracking in the wild using deep learning
Kunlei Zhang, Elaheh Rashedi, Elaheh Barati +1
This paper investigates long-term face tracking of a specific person given his/her face image in a single frame as a query in a video stream. Through taking advantage of pre-traine…