20 citations · 72 across the 37 of their papers we have counts for
5 papers · 1 filter
Note on the approximation of the conditional intensity of non-stationary cluster point processes
Edith Gabriel, Joël Chadoeuf
In this note we consider non-stationary cluster point processes and we derive their conditional intensity, i.e. the intensity of the process given the locations of one or more even…
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel +4
Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people over the years. Machine learning (ML) has been…
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
Kevin Eloff, Okko Räsänen, Herman A. Engelbrecht +2
Multi-agent reinforcement learning has been used as an effective means to study emergent communication between agents, yet little focus has been given to continuous acoustic commun…
Robust and Scalable SDE Learning: A Functional Perspective
Scott Cameron, Tyron Cameron, Arnu Pretorius +1
Stochastic differential equations provide a rich class of flexible generative models, capable of describing a wide range of spatio-temporal processes. A host of recent work looks t…
Mava: a research library for distributed multi-agent reinforcement learning in JAX
Ruan de Kock, Omayma Mahjoub, Sasha Abramowitz +5
Multi-agent reinforcement learning (MARL) research is inherently computationally expensive and it is often difficult to obtain a sufficient number of experiment samples to test hyp…