75 citations · 142 across the 21 of their papers we have counts for
4 papers · 1 filter
Delay-agnostic Asynchronous Coordinate Update Algorithm
Xuyang Wu, Changxin Liu, Sindri Magnusson +1
We propose a delay-agnostic asynchronous coordinate update algorithm (DEGAS) for computing operator fixed points, with applications to asynchronous optimization. DEGAS includes nov…
Comparing NARS and Reinforcement Learning: An Analysis of ONA and -Learning Algorithms
Ali Beikmohammadi, Sindri Magnússon
In recent years, reinforcement learning (RL) has emerged as a popular approach for solving sequence-based tasks in machine learning. However, finding suitable alternatives to RL re…
Delay-agnostic Asynchronous Distributed Optimization
Xuyang Wu, Changxin Liu, Sindri Magnusson +1
Existing asynchronous distributed optimization algorithms often use diminishing step-sizes that cause slow practical convergence, or fixed step-sizes that depend on an assumed uppe…
Human-Inspired Framework to Accelerate Reinforcement Learning
Ali Beikmohammadi, Sindri Magnússon
Reinforcement learning (RL) is crucial for data science decision-making but suffers from sample inefficiency, particularly in real-world scenarios with costly physical interactions…