7 citations · 7 across the 3 of their papers we have counts for
4 papers
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi +3
Striking progress has recently been made in understanding human cognition by analyzing how its neuronal underpinnings are engaged in different modes of information processing. Spec…
Fixed -VAE Encoding for Curious Exploration in Complex 3D Environments
Auguste Lehuger, Matthew Crosby
Curiosity is a general method for augmenting an environment reward with an intrinsic reward, which encourages exploration and is especially useful in sparse reward settings. As cur…
Episodic Memory for Learning Subjective-Timescale Models
Alexey Zakharov, Matthew Crosby, Zafeirios Fountas
In model-based learning, an agent's model is commonly defined over transitions between consecutive states of an environment even though planning often requires reasoning over multi…
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition
Benjamin Beyret, José Hernández-Orallo, Lucy Cheke +3
Recent advances in artificial intelligence have been strongly driven by the use of game environments for training and evaluating agents. Games are often accessible and versatile, w…