2 citations · 3 across the 2 of their papers we have counts for
4 papers
Evaluating the Apperception Engine
Richard Evans, Jose Hernandez-Orallo, Johannes Welbl +2
The Apperception Engine is an unsupervised learning system. Given a sequence of sensory inputs, it constructs a symbolic causal theory that both explains the sensory sequence and a…
Making sense of sensory input
Richard Evans, Jose Hernandez-Orallo, Johannes Welbl +2
This paper attempts to answer a central question in unsupervised learning: what does it mean to "make sense" of a sensory sequence? In our formalization, making sense involves cons…
Learning Explanatory Rules from Noisy Data
Richard Evans, Edward Grefenstette
Artificial Neural Networks are powerful function approximators capable of modelling solutions to a wide variety of problems, both supervised and unsupervised. As their size and exp…
Reinforcement Learning in a Neurally Controlled Robot Using Dopamine Modulated STDP
Richard Evans
Recent work has shown that dopamine-modulated STDP can solve many of the issues associated with reinforcement learning, such as the distal reward problem. Spiking neural networks p…