Alexander Pritzel
8 papers · 2016–2020 · 3 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (3) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Cross-Pollinator (14)
๐งญ
Keyword Pioneer
๐
Keyword Trendsetter Combo
(5)
๐ฑ
Topic Pioneer
๐
Triple Crown
๐
Trend Setter
๐
Conference Pioneer
Conferences
ICML (3)
NIPS (3)
ICLR (2)
Top co-authors
Keywords
value function
(3)
deep reinforcement learning
(3)
neural network
(2)
reinforcement learning
(2)
episodic memory
(2)
state representation
(1)
model-based reinforcement learning
(1)
partial observability
(1)
efficient exploration
(1)
generative model
(1)
state-space model
(1)
disentangled representation
(1)
variational autoencoder
(1)
out-of-distribution detection
(1)
replay buffer
(1)
uncertainty estimation
(1)
zero-shot transfer
(1)
bayesian neural network
(1)
domain shift
(1)
experience replay
(1)
Papers
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Fast deep reinforcement learning using online adjustments from the past
NIPS 2018
Memory-based Parameter Adaptation
ICLR 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
ICML 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
NIPS 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017
Neural Episodic Control
ICML 2017
Deep Exploration via Bootstrapped DQN
NIPS 2016