Thomas Furmston

According to our database, Thomas Furmston authored at least 8 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with Word2vec Embeddings and Transformer-Based BERT Models.

Mercedes Argüello Casteleiro, Nava Maroto, Chris Wroe, Carlos Sevillano Torrado, Chloe Henson, Jose Julio Des Diz, Maria Jesus Fernandez Prieto, Thomas Furmston, Diego Maseda-Fernandez, Manoj Kulshrestha, Robert Stevens, John A. Keane, Simon Peters

Proceedings of the Artificial Intelligence XXXVIII, 2021

2016

Approximate Newton Methods for Policy Search in Markov Decision Processes.

Thomas Furmston, Guy Lever, David Barber

J. Mach. Learn. Res., 2016

2015

A Gauss-Newton Method for Markov Decision Processes.

Thomas Furmston, Guy Lever

CoRR, 2015

2013

Applications of probabilistic inference to planning & reinforcement learning.

Thomas Furmston

PhD thesis, 2013

2012

A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes.

Thomas Furmston, David Barber

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Efficient Inference in Markov Control Problems.

Thomas Furmston, David Barber

Proceedings of the UAI 2011, 2011

Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes.

Thomas Furmston, David Barber

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Variational methods for Reinforcement Learning.

Thomas Furmston, David Barber

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010