most citedSystem Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning

Cameron Taylor, Vassilis Vassiliades, Constantine Dovrolis

We focus on a relatively unexplored learning paradigm known as {\em Online Unsupervised Continual Learning} (O-UCL), where an agent receives a non-stationary, unlabeled data stream…

cs.LG2022★ 2 cited

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

Indranil Sur, Zachary Daniels, Abrar Rahman +16

As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adap…