3 citations · 11 across the 7 of their papers we have counts for
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cs.MA2019
Agent Probing Interaction Policies
Siddharth Ghiya, Oluwafemi Azeez, Brendan Miller
Reinforcement learning in a multi agent system is difficult because these systems are inherently non-stationary in nature. In such a case, identifying the type of the opposite agen…
cs.CV2019
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation
Oluwafemi Azeez
It is expensive to generate real-life image labels and there is a domain gap between real-life and simulated images, hence a model trained on the latter cannot adapt to the former.…