David Budden

According to our database1, David Budden authored at least 15 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Gaussian Gated Linear Networks.
CoRR, 2020

Online Learning in Contextual Bandits using Gated Linear Networks.
CoRR, 2020

2019
Gated Linear Networks.
CoRR, 2019

Task-Relevant Adversarial Imitation Learning.
CoRR, 2019

A Framework for Data-Driven Robotics.
CoRR, 2019

Modular Meta-Learning with Shrinkage.
CoRR, 2019

TF-Replicator: Distributed Machine Learning for Researchers.
CoRR, 2019

A Generalized Framework for Population Based Training.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sample Efficient Adaptive Text-to-Speech.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.
CoRR, 2018

Observe and Look Further: Achieving Consistent Performance on Atari.
CoRR, 2018

DeepMind Control Suite.
CoRR, 2018

Playing hard exploration games by watching YouTube.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Prioritized Experience Replay.
Proceedings of the 6th International Conference on Learning Representations, 2018

Distributed Distributional Deterministic Policy Gradients.
Proceedings of the 6th International Conference on Learning Representations, 2018


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