95 citations · 197 across the 25 of their papers we have counts for
26 papers
On The Specialization of Neural Modules
Devon Jarvis, Richard Klein, Benjamin Rosman +1
A number of machine learning models have been proposed with the goal of achieving systematic generalization: the ability to reason about new situations by combining aspects of prev…
ROSARL: Reward-Only Safe Reinforcement Learning
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek +2
An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common solution is for a human expert to define either a pe…
The challenge of redundancy on multi-agent value factorisation
Siddarth Singh, Benjamin Rosman
In the field of cooperative multi-agent reinforcement learning (MARL), the standard paradigm is the use of centralised training and decentralised execution where a central critic c…
Hierarchically Composing Level Generators for the Creation of Complex Structures
Michael Beukman, Manuel Fokam, Marcel Kruger +5
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to help create better games at a fraction of the c…
Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally perform a task within a given environment. R…
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
Understanding which student support strategies mitigate dropout and improve student retention is an important part of modern higher educational research. One of the largest challen…