1 citations · 1 across the 4 of their papers we have counts for
4 papers
Multi-Agent Deep Reinforcement Learning Under Constrained Communications
Shahil Shaik, Jonathon M. Smereka, Yue Wang
Centralized training with decentralized execution (CTDE) has been the dominant paradigm in multi-agent reinforcement learning (MARL), but its reliance on global state information d…
Generalized Advantage Estimation for Distributional Policy Gradients
Shahil Shaik, Jonathon M. Smereka, Yue Wang
Generalized Advantage Estimation (GAE) has been used to mitigate the computational complexity of reinforcement learning (RL) by employing an exponentially weighted estimation of th…
Training Human-Robot Teams by Improving Transparency Through a Virtual Spectator Interface
Sean Dallas, Hongjiao Qiang, Motaz AbuHijleh +6
After-action reviews (AARs) are professional discussions that help operators and teams enhance their task performance by analyzing completed missions with peers and professionals.…
Efficient algorithms for electric vehicles' min-max routing problem
Seyed Sajjad Fazeli, Saravanan Venkatachalam, Jonathon M. Smereka
An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With r…