Alexander Pritzel

According to our database1, Alexander Pritzel authored at least 18 papers between 2015 and 2018.

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Timeline

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Bibliography

2018
Fast deep reinforcement learning using online adjustments from the past.
CoRR, 2018

Meta-Learning by the Baldwin Effect.
CoRR, 2018

Generative Temporal Models with Spatial Memory for Partially Observed Environments.
CoRR, 2018

Memory-based Parameter Adaptation.
CoRR, 2018

Generative Temporal Models with Spatial Memory for Partially Observed Environments.
Proceedings of the 35th International Conference on Machine Learning, 2018

Meta-learning by the Baldwin effect.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Meta-learning by the baldwin effect.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Neural Episodic Control.
CoRR, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
CoRR, 2017

PathNet: Evolution Channels Gradient Descent in Super Neural Networks.
CoRR, 2017

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.
Proceedings of the 34th International Conference on Machine Learning, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Deep Exploration via Bootstrapped DQN.
CoRR, 2016

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
CoRR, 2016

Model-Free Episodic Control.
CoRR, 2016

Deep Exploration via Bootstrapped DQN.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Continuous control with deep reinforcement learning.
CoRR, 2015


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