Revisiting Benchmarking of Tabular Reinforcement Learning Methods
publishing my previous post on benchmarking tabular reinforcement learning (RL) methods, I couldn’t shake the feeling that something wasn’t quite...
Reinforcement
Deep reinforcement learning optimizes distributed manufacturing scheduling
A recent study published in Engineering presents a significant advancement in manufacturing scheduling. Researchers Xueyan Sun, Weiming Shen, Jiaxin Fan, and their...
Reinforcement learning-driven task migration for effective temperature management in 3D noc systems
This section will initially present the assumptions of the problem. Subsequently, we will provide a concise specification of the cooling...
AI pioneers Andrew Barto and Richard Sutton win 2024 Turing Award for groundbreaking contributions to reinforcement learning | NSF
The computing world is celebrating a major milestone as Andrew Barto, professor emeritus at the University of Massachusetts Amherst, and...
Integrating graph and reinforcement learning for vaccination strategies in complex networks
Who coronavirus (covid-19) dashboard. (Accessed July 14, 2023). https://covid19.who.int/.Kang, Q. et al. Machine learning-aided causal inference framework for environmental data...
