Publications

Refereed Publications

A Boolean Task Algebra for Reinforcement Learning

2020
G. Nangue Tasse, S. James & B. Rosman

Advances in Neural Information Processing Systems

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Learning Portable Representations for High-Level Planning

2020
S. James, B. Rosman & G. Konidaris

Proceedings of the Thirty-seventh International Conference on Machine Learning

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If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks

2020
A. Pretorius, E. van Biljon, B. van Niekerk, R. Eloff, M. Reynard, S. James, B. Rosman, H. Kamper & S. Kroon

Pattern Recognition Letters, Elsevier

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Composing Value Functions in Reinforcement Learning

2019
B. van Niekerk, S. James, A. Earle & B. Rosman

Proceedings of the Thirty-sixth International Conference on Machine Learning

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An Analysis of Monte Carlo Tree Search

2017
S. James, G. Konidaris & B. Rosman

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence

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Local Publications (Refereed)

Quantisation and Pruning for Neural Network Compression and Regularisation

2020
K. Paupamah, S. James & R. Klein

Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference

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Learning Options from Demonstration using Skill Segmentation

2020
M. Cockroft, S. Mawjee, S. James & P. Ranchod

Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference

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Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition

2020
N. Kooverjee, S. James & T. van Zyl

Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference

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Workshops, Symposia & Tech Reports

Learning Object-Centric Representations for High-Level Planning in Minecraft

2020
S. James, B. Rosman & G. Konidaris

Object-Oriented Learning (OOL): Perception, Representation, and Reasoning. Workshop at ICML.

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Logical Composition for Lifelong Reinforcement Learning

2020
G. Nangue Tasse, S. James & B. Rosman

4th Lifelong Learning Workshop at ICML 2020

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A Boolean Task Algebra for Reinforcement Learning

2020
G. Nangue Tasse, S. James & B. Rosman

Beyond "Tabula Rasa" in Reinforcement Learning (BeTR-RL): Agents that remember, adapt, and generalize. Workshop at ICLR.

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Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces

2019
C.J. Bester, S. James, & G. Konidaris

arXiv preprint arXiv:1905.04388

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Learning to Plan with Portable Symbols

2018
S. James, B. Rosman & G. Konidaris

ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning

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Will it Blend? Composing Value Functions in Reinforcement Learning

2018
B. van Niekerk, S. James, A. Earle & B. Rosman

The 2nd Lifelong Learning: A Reinforcement Learning Approach (LLARLA) Workshop, FAIM 2018.

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Learning Portable Symbolic Representations

2018
S. James

2018 IJCAI Doctoral Consortium (extended abstract)

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An Investigation into the Effectiveness of Heavy Rollouts in UCT

2016
S. James, B. Rosman & G. Konidaris

General Intelligence in Game-Playing Agents (GIGA’16) Workshop at IJCAI

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The Effect of Simulation Bias on Action Selection in Monte Carlo Tree Search

2016
S. James

University of the Witwatersrand (MSc thesis)

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