6 citations · 7 across the 3 of their papers we have counts for
4 papers
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability
Paul J. Pritz, Kin K. Leung
Reinforcement learning in partially observable environments is typically challenging, as it requires agents to learn an estimate of the underlying system state. These challenges ar…
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
Paul J. Pritz, Liang Ma, Kin K. Leung
While reinforcement learning has achieved considerable successes in recent years, state-of-the-art models are often still limited by the size of state and action spaces. Model-free…
Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
Sam M. Werner, Paul J. Pritz, Daniel Perez
In the Ethereum network, miners are incentivized to include transactions in a block depending on the gas price specified by the sender. The sender of a transaction therefore faces…
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
Paul J. Pritz, Daniel Perez, Kin K. Leung
Distributed computing systems often consist of hundreds of nodes, executing tasks with different resource requirements. Efficient resource provisioning and task scheduling in such…