2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
cs.LG2022
Learning with Local Gradients at the Edge
Michael Lomnitz, Zachary Daniels, David Zhang +1
To enable learning on edge devices with fast convergence and low memory, we present a novel backpropagation-free optimization algorithm dubbed Target Projection Stochastic Gradient…
cs.CV2018
Scenarios: A New Representation for Complex Scene Understanding
Zachary A. Daniels, Dimitris N. Metaxas
The ability for computational agents to reason about the high-level content of real world scene images is important for many applications. Existing attempts at addressing the probl…