Steven James
Steven James
Verified email at - Homepage
Cited by
Cited by
An Analysis of Monte Carlo Tree Search
S James, G Konidaris, B Rosman
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017
Composing value functions in reinforcement learning
B Van Niekerk, S James, A Earle, B Rosman
International Conference on Machine Learning, 6401-6409, 2019
Learning to Plan with Portable Symbols
S James, B Rosman, G Konidaris
ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning, 2018
Multi-pass Q-networks for deep reinforcement learning with parameterised action spaces
CJ Bester, SD James, GD Konidaris
arXiv preprint arXiv:1905.04388, 2019
An Investigation into the Effectiveness of Heavy Rollouts in UCT
S James, B Rosman, G Konidaris
The IJCAI-16 Workshop on General Game Playing, 55 - 61, 2016
Quantisation and Pruning for Neural Network Compression and Regularisation
K Paupamah, S James, R Klein
arXiv preprint arXiv:2001.04850, 2020
A Boolean Task Algebra for Reinforcement Learning
GN Tasse, S James, B Rosman
arXiv preprint arXiv:2001.01394, 2020
Inter-and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
N Kooverjee, S James, T van Zyl
arXiv preprint arXiv:2001.00448, 2020
Learning Options from Demonstration using Skill Segmentation
M Cockcroft, S Mawjee, S James, P Ranchod
arXiv preprint arXiv:2001.06793, 2020
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
A Pretorius, E van Biljon, B van Niekerk, R Eloff, M Reynard, S James, ...
arXiv preprint arXiv:1910.05725, 2019
Learning Portable Representations for High-Level Planning
S James, B Rosman, G Konidaris
arXiv preprint arXiv:1905.12006, 2019
Learning Portable Symbolic Representations
S James
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
The Effect of Simulation Bias on Action Selection in Monte Carlo Tree Search
SD James
University of the Witwatersrand, 2016
The system can't perform the operation now. Try again later.
Articles 1–13