2 citations · 2 across the 4 of their papers we have counts for
5 papers
History Matters: Meta-policy Delegation with Heterogeneous Multi-agent Reinforcement Learning
Ziqing Lu, Avinash Reddy Mudireddy, Sarra Alqahtani +1
AI agents are expected to play an increasingly important role in future decision-making systems. In this paper, we consider collaborative systems composed of heterogeneous multi-ag…
xSRL: Safety-Aware Explainable Reinforcement Learning -- Safety as a Product of Explainability
Risal Shahriar Shefin, Md Asifur Rahman, Thai Le +1
Reinforcement learning (RL) has shown great promise in simulated environments, such as games, where failures have minimal consequences. However, the deployment of RL agents in real…
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Kangning Cui, Seda Camalan, Ruoning Li +7
Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests…
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
Ashley Peake, Joe McCalmon, Yixin Zhang +3
Performing autonomous exploration is essential for unmanned aerial vehicles (UAVs) operating in unknown environments. Often, these missions start with building a map for the enviro…
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
Xiaotian Liu, Pengyi Shi, Sarra Alqahtani +2
The ability to perform autonomous exploration is essential for unmanned aerial vehicles (UAV) operating in unstructured or unknown environments where it is hard or even impossible…