1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
Claude Formanek, Callum Rhys Tilbury, Louise Beyers +2
Offline multi-agent reinforcement learning (MARL) is an emerging field with great promise for real-world applications. Unfortunately, the current state of research in offline MARL…
cs.LG2023★ 1 cited
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Claude Formanek, Asad Jeewa, Jonathan Shock +1
Being able to harness the power of large datasets for developing cooperative multi-agent controllers promises to unlock enormous value for real-world applications. Many important i…
math.ST2021
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…