2 citations · 5 across the 5 of their papers we have counts for
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cs.MA2024★ 1 cited
Multi-agent Path Finding for Timed Tasks using Evolutionary Games
Sheryl Paul, Anand Balakrishnan, Xin Qin +1
Autonomous multi-agent systems such as hospital robots and package delivery drones often operate in highly uncertain environments and are expected to achieve complex temporal task…
cs.LG2024★ 2 cited
Survival of the Fittest: Evolutionary Adaptation of Policies for Environmental Shifts
Sheryl Paul, Jyotirmoy V. Deshmukh
Reinforcement learning (RL) has been successfully applied to solve the problem of finding obstacle-free paths for autonomous agents operating in stochastic and uncertain environmen…