17 citations · 57 across the 16 of their papers we have counts for
3 papers · 1 filter
Deep set conditioned latent representations for action recognition
Akash Singh, Tom De Schepper, Kevin Mets +3
In recent years multi-label, multi-class video action recognition has gained significant popularity. While reasoning over temporally connected atomic actions is mundane for intelli…
Structured Exploration Through Instruction Enhancement for Object Navigation
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper +1
Finding an object of a specific class in an unseen environment remains an unsolved navigation problem. Hence, we propose a hierarchical learning-based method for object navigation.…
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning
Astrid Vanneste, Simon Vanneste, Kevin Mets +4
Communication is crucial in multi-agent reinforcement learning when agents are not able to observe the full state of the environment. The most common approach to allow learned comm…