Paper-Conference

Inter-and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
Pre-training a deep neural network on the ImageNet dataset is a common practice for training deep learning models, and generally yields …
Nishai Kooverjee, Steven James, Terence Van Zyl
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Learning Options from Demonstration using Skill Segmentation
We present a method for learning options from segmented demonstration trajectories. The trajectories are first segmented into skills …
Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod
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Quantisation and Pruning for Neural Network Compression and Regularisation
Deep neural networks are typically too computationally expensive to run in real-time on consumer-grade hardware and low-powered …
Kimessha Paupamah, Steven James, Richard Klein
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Composing Value Functions in Reinforcement Learning
An important property for lifelong-learning agents is the ability to combine existing skills to solve new unseen tasks. In general, …
Benjamin Van Niekerk, Steven James, Adam Earle, Benjamin Rosman
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An Analysis of Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) is a family of directed search algorithms that has gained widespread attention in recent years. Despite …
Steven James, George Konidaris, Benjamin Rosman
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