Devising intelligent agents able to live in an environment and learn by observing the surroundings is a longstanding goal of Artificial Intelligence. From a bare Machine Learning perspective, challenges arise when the agent is prevented from …
In this seminar, I talk about the recently released paper “AGENT: A Benchmark for Core Psychological Reasoning.
@misc{agent2021shu,
doi = {10.48550/ARXIV.2102.12321},
url = {https://arxiv.org/abs/2102.12321},
author = {Shu, Tianmin and Bhandwaldar, Abhishek and Gan, Chuang and Smith, Kevin A.
In the last few years, the scientific community showed a remarkable and increasing interest towards 3D Virtual Environments, training and testing Machine Learning-based models in realistic virtual worlds. On one hand, these environments could also …
Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a challenging task, also due to the inherent difficulty in creating …
SAILenv was presented at ICPR2020
Recently, researchers in Machine Learning algorithms, Computer Vision scientists, engineers, and others, showed a growing interest in 3D simulators as a mean to artificially create experimental settings that are remarkably close to those in the real …
A Dataset Generator powered by a modded version of GTA V
A virtual environment for generating fully annotated video streams.
Recently, there have been many breakthroughs in computer vision thanks to Deep Learning. The availability of huge annotated datasets was one of the reasons of this success, if not the most important. However, these datasets have usually been static …