research
∙
09/19/2023
Language Modeling Is Compression
It has long been established that predictive models can be transformed i...
share
research
∙
02/06/2023
Memory-Based Meta-Learning on Non-Stationary Distributions
Memory-based meta-learning is a technique for approximating Bayes-optima...
research
∙
09/30/2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Meta-training agents with memory has been shown to culminate in Bayes-op...
research
∙
07/05/2022
Neural Networks and the Chomsky Hierarchy
Reliable generalization lies at the heart of safe ML and AI. However, un...
research
∙
09/30/2021
Reinforcement Learning with Information-Theoretic Actuation
Reinforcement Learning formalises an embodied agent's interaction with t...
research
∙
03/04/2019
Strong Asymptotic Optimality in General Environments
Reinforcement Learning agents are expected to eventually perform well. T...
research
∙
08/13/2017
