Benjamin Rosman

Orcid: 0000-0002-0284-4114

Affiliations:
  • University of the Witwatersrand, Johannesburg, South Africa


According to our database1, Benjamin Rosman authored at least 77 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Towards Financially Inclusive Credit Products Through Financial Time Series Clustering.
CoRR, 2024

2023
Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories.
IEEE Trans. Games, December, 2023

Who should I trust? Cautiously learning with unreliable experts.
Neural Comput. Appl., August, 2023

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure.
CoRR, 2023

Generalisable Agents for Neural Network Optimisation.
CoRR, 2023

Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning.
CoRR, 2023

ROSARL: Reward-Only Safe Reinforcement Learning.
CoRR, 2023

Hierarchically Composing Level Generators for the Creation of Complex Structures.
CoRR, 2023

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On The Specialization of Neural Modules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Challenge of Redundancy on Multi-agent Value Factorisation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

Hierarchical WaveFunction Collapse.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education.
CoRR, 2022

Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases.
CoRR, 2022

World Value Functions: Knowledge Representation for Learning and Planning.
CoRR, 2022

Skill Machines: Temporal Logic Composition in Reinforcement Learning.
CoRR, 2022

World Value Functions: Knowledge Representation for Multitask Reinforcement Learning.
CoRR, 2022

Learning Abstract and Transferable Representations for Planning.
CoRR, 2022

Real Time In-Game Playstyle Classification Using a Hybrid Probabilistic Supervised Learning Approach.
Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

Reducing the Planning Horizon Through Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Generalisation in Lifelong Reinforcement Learning through Logical Composition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Autonomous Learning of Object-Centric Abstractions for High-Level Planning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved Action Prediction through Multiple Model Processing of Player Trajectories.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Play-style Identification through Deep Unsupervised Clustering of Trajectories.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Reinforcement Learning in Education: A Multi-armed Bandit Approach.
Proceedings of the Emerging Technologies for Developing Countries, 2022

2021
Fairness and accountability of AI in disaster risk management: Opportunities and challenges.
Patterns, 2021

Applying a principle of explicability to AI research in Africa: should we do it?
Ethics Inf. Technol., 2021

Learning to Follow Language Instructions with Compositional Policies.
CoRR, 2021

FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation.
CoRR, 2021

Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization.
CoRR, 2021

2020
A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents.
Remote. Sens., 2020

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks.
Pattern Recognit. Lett., 2020

A Boolean Task Algebra for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Portable Representations for High-Level Planning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Symbol Emergence in Cognitive Developmental Systems: A Survey.
IEEE Trans. Cogn. Dev. Syst., 2019

Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks.
CoRR, 2019

Transfer Learning for Prosthetics Using Imitation Learning.
CoRR, 2019

Understanding Structure of Concurrent Actions.
Proceedings of the Artificial Intelligence XXXVI, 2019

Composing Value Functions in Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations.
J. Robotics Mechatronics, 2018

Will it Blend? Composing Value Functions in Reinforcement Learning.
CoRR, 2018

Reasoning about Unforeseen Possibilities During Policy Learning.
CoRR, 2018

Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Real-Time Motion Planning in Changing Environments Using Topology-Based Encoding of Past Knowledge.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Accelerating Model Learning with Inter-Robot Knowledge Transfer.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hierarchical Subtask Discovery with Non-Negative Matrix Factorization.
Proceedings of the 6th International Conference on Learning Representations, 2018

Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors.
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems.
Proceedings of the Fourth International Conference On Arabic Computational Linguistics, 2018

Belief Reward Shaping in Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Online Constrained Model-based Reinforcement Learning.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Hierarchy Through Composition with Multitask LMDPs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fingerprint minutiae extraction using deep learning.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

An Analysis of Monte Carlo Tree Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Bayesian policy reuse.
Mach. Learn., 2016

Hierarchy through Composition with Linearly Solvable Markov Decision Processes.
CoRR, 2016

Trajectory learning from human demonstrations via manifold mapping.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach.
Proceedings of the Multiagent Interaction without Prior Coordination, 2016

2015
Action Priors for Learning Domain Invariances.
IEEE Trans. Auton. Ment. Dev., 2015

Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Enhancing agent safety through autonomous environment adaptation.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Knowledge transfer for learning robot models via Local Procrustes Analysis.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
On user behaviour adaptation under interface change.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Giving advice to agents with hidden goals.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Feature selection for domain knowledge representation through multitask learning.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Modelling Primate Control of Grasping for Robotics Applications.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Behavioural Domain Knowledge Transfer for Autonomous Agents.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Clustering Markov Decision Processes For Continual Transfer.
CoRR, 2013

2012
What good are actions? Accelerating learning using learned action priors.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

A Multitask Representation Using Reusable Local Policy Templates.
Proceedings of the Designing Intelligent Robots, 2012

2011
Learning spatial relationships between objects.
Int. J. Robotics Res., 2011

2010
A game-theoretic procedure for learning hierarchically structured strategies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2006
Language performance at high school and success in first year computer science.
Proceedings of the 37th SIGCSE Technical Symposium on Computer Science Education, 2006


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