no code implementations • 5 Apr 2024 • Yufei Zhang, Jeffrey O. Kephart, Zijun Cui, Qiang Ji
PhysPT exploits a Transformer encoder-decoder backbone to effectively learn human dynamics in a self-supervised manner.
no code implementations • ICCV 2023 • Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji
While 3D body reconstruction methods have made remarkable progress recently, it remains difficult to acquire the sufficiently accurate and numerous 3D supervisions required for training.
no code implementations • 13 Sep 2017 • Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy
In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making.
no code implementations • 13 Sep 2017 • Kartik Talamadupula, Biplav Srivastava, Jeffrey O. Kephart
In this paper, we introduce the problem of denoting and deriving the complexity of workflows (plans, schedules) in collaborative, planner-assisted settings where humans and agents are trying to jointly solve a task.