Steven James

According to our database1, Steven James authored at least 10 papers between 2017 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
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.
Pattern Recognit. Lett., 2020

Learning Options from Demonstration using Skill Segmentation.
CoRR, 2020

Quantisation and Pruning for Neural Network Compression and Regularisation.
CoRR, 2020

Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition.
CoRR, 2020

A Boolean Task Algebra for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Portable Representations for High-Level Planning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Composing Value Functions in Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Will it Blend? Composing Value Functions in Reinforcement Learning.
CoRR, 2018

Learning Portable Symbolic Representations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
An Analysis of Monte Carlo Tree Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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