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Generalisable Agents for Neural Network Optimisation
Optimising deep neural networks is a challenging task due to complex training dynamics, high computational requirements, and long …
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Hierarchical Reinforcement Learning with AI Planning Models
Deep Reinforcement Learning (DRL) has shown breakthroughs in solving challenging problems, such as pixel-based games and continuous …
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Preparing the Vuk'uzenzele and ZA-gov-multilingual South African Multilingual Corpora
This paper introduces two multilingual government themed corpora in various South African languages. The corpora were collected by …
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A Framework for Grassroots Research Collaboration in Machine Learning and Global Health
Traditional top-down approaches for global health have historically failed to achieve social progress (Hoffman et al., 2015; Hoffman …
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End-to-End Learning to Follow Language Instructions with Compositional Policies
We develop an end-to-end model for learning to follow language instructions with compositional policies. Our model combines large …
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Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
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Participatory Translations of Oshiwambo: Towards Culture Preservation with Language Technology
In this paper, we describe a participatory, collaborative, and cost-effective process for creating translations in Oshiwambo, the most …
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Augmentative Topology Agents For Open-ended Learning
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly …
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Facilitating Safe Sim-to-Real through Simulator Abstraction and Zero-shot Task Composition
Simulators are a fundamental part of training robots to solve complex control and navigation tasks. This is due to the speed and safety …
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Skill Machines: Temporal Logic Composition in Reinforcement Learning
A major challenge in reinforcement learning is specifying tasks in a manner that is both interpretable and verifiable. One common …
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