Alexander Pritzel
8 papers · 2016–2020 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(5)
👑
Triple Crown
📈
Trend Setter
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(6)
Machine Learning
(5)
Reinforcement Learning
(5)
Learning Types · Machine Learning
(5)
Methods
(5)
Deep Learning
(3)
Applications
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(3)
episodic memory
(3)
neural network
(3)
deep reinforcement learning
(3)
value function
(3)
uncertainty quantification
(1)
model-based reinforcement learning
(1)
ensemble learning
(1)
state representation
(1)
replay buffer
(1)
domain adaptation
(1)
partial observability
(1)
efficient exploration
(1)
generative model
(1)
variational autoencoder
(1)
disentangled representation
(1)
state space model
(1)
out-of-distribution detection
(1)
self-supervised learning
(1)
sample efficiency
(1)
Papers
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Fast deep reinforcement learning using online adjustments from the past
NeurIPS 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
ICML 2018
Memory-based Parameter Adaptation
ICLR 2018
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017
Neural Episodic Control
ICML 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
NeurIPS 2017
Deep Exploration via Bootstrapped DQN
NeurIPS 2016