Neil Burgess
5 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Interdisciplinary
(2)
Reinforcement Learning
(2)
Methods
(2)
Models
(2)
Science
(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Cognitive Science
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Optimization & Theory
(1)
Keywords
deep reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
variational inference
(1)
bayesian inference
(1)
probabilistic inference
(1)
fourier analysis
(1)
message passing
(1)
continuous control
(1)
gaussian process factor analysis
(1)
stochastic process
(1)
state representation learning
(1)
amortized inference
(1)
probabilistic graphical model
(1)
spatial representation
(1)
world model
(1)
exploration strategy
(1)
cycle consistency
(1)
sparse reward
(1)
intrinsic reward
(1)
Papers
Successor-Predecessor Intrinsic Exploration
NeurIPS 2023
Learning State Representations via Retracing in Reinforcement Learning
ICLR 2022
Structured Recognition for Generative Models with Explaining Away
NeurIPS 2022
Prediction and generalisation over directed actions by grid cells
ICLR 2021
Coordinated hippocampal-entorhinal replay as structural inference
NeurIPS 2019