Benjamin Rosman

Benjamin Rosman

University of the Witwatersrand

H-index: 23

Africa-South Africa

About Benjamin Rosman

Benjamin Rosman, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at University of the Witwatersrand, specializes in the field of Robotics, Artificial Intelligence, Machine Learning, Decision Making, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Transferable dynamics models for efficient object-oriented reinforcement learning

Towards Financially Inclusive Credit Products Through Financial Time Series Clustering

Dynamics generalisation in reinforcement learning via adaptive context-aware policies

The Challenge of Redundancy on Multi-agent Value Factorisation.

Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories

Hierarchical WaveFunction Collapse

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure

A framework for grassroots research collaboration in machine learning and global health

Benjamin Rosman Information

University

Position

Associate Professor at the South Africa

Citations(all)

1626

Citations(since 2020)

1275

Cited By

704

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

38

i10Index(since 2020)

34

Email

University Profile Page

University of the Witwatersrand

Google Scholar

View Google Scholar Profile

Benjamin Rosman Skills & Research Interests

Robotics

Artificial Intelligence

Machine Learning

Decision Making

Reinforcement Learning

Top articles of Benjamin Rosman

Title

Journal

Author(s)

Publication Date

Transferable dynamics models for efficient object-oriented reinforcement learning

Artificial Intelligence

Ofir Marom

Benjamin Rosman

2024/4/1

Towards Financially Inclusive Credit Products Through Financial Time Series Clustering

arXiv preprint arXiv:2402.11066

Tristan Bester

Benjamin Rosman

2024/2/16

Dynamics generalisation in reinforcement learning via adaptive context-aware policies

Advances in Neural Information Processing Systems

Michael Beukman

Devon Jarvis

Richard Klein

Steven James

Benjamin Rosman

2024/2/13

The Challenge of Redundancy on Multi-agent Value Factorisation.

Siddarth Shandeep Singh

Benjamin Rosman

2023/3/28

Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories

IEEE Transactions on Games

Branden Ingram

Clint van Alten

Richard Klein

Benjamin Rosman

2023/7/26

Hierarchical WaveFunction Collapse

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Michael Beukman

Branden Ingram

Ireton Liu

Benjamin Rosman

2023/10/6

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure

arXiv preprint arXiv:2312.11364

Tristan Bester

Benjamin Rosman

Steven James

Geraud Nangue Tasse

2023/12/18

A framework for grassroots research collaboration in machine learning and global health

Christopher Brian Currin

Mercy Nyamewaa Asiedu

Chris Fourie

Benjamin Rosman

Houcemeddine Turki

...

2023/3/2

Hierarchically composing level generators for the creation of complex structures

IEEE Transactions on Games

Michael Beukman

Manuel Fokam

Marcel Kruger

Guy Axelrod

Muhammad Nasir

...

2023/7/21

Creating diverse play-style-centric agents through behavioural cloning

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Branden Ingram

Clint Van Alten

Richard Klein

Benjamin Rosman

2023/10/6

Generalisable Agents for Neural Network Optimisation

Kale-ab Tessera

Callum Tilbury

Sasha Abramowitz

Ruan de Kock

Omayma Mahjoub

...

2023/10/28

A comparison of visual place recognition methods using a mobile robot in an indoor environment

Beatrice Van Eden

Natasha Botha

Benjamin Rosman

2023

ROSARL: Reward-Only Safe Reinforcement Learning

arXiv preprint arXiv:2306.00035

Geraud Nangue Tasse

Tamlin Love

Mark Nemecek

Steven James

Benjamin Rosman

2023/5/31

Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning

ArXiv

Rowan Hodson

Bruce Bassett

Charel van Hoof

Benjamin Rosman

Mark Solms

...

2023/8/15

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning

Geraud Nangue Tasse

Devon Jarvis

Steven James

Benjamin Rosman

2023/10/13

On the specialization of neural modules

Devon Jarvis

Richard Klein

Benjamin Rosman

Andrew Saxe

2023/5/5

Applying a principle of explicability to AI research in Africa: should we do it?

Mary Carman

Benjamin Rosman

2023/8/15

Compositional Instruction Following with Language Models and Reinforcement Learning

Vanya Cohen

Geraud Nangue Tasse

Nakul Gopalan

Steven James

Matthew Gombolay

...

2023/10/13

FABRIC: A framework for the design and evaluation of collaborative robots with extended human adaptation

ACM Transactions on Human-Robot Interaction

O Can Görür

Benjamin Rosman

Fikret Sivrikaya

Sahin Albayrak

2023/3

Who should I trust? Cautiously learning with unreliable experts

Neural Computing and Applications

Tamlin Love

Ritesh Ajoodha

Benjamin Rosman

2023/8

See List of Professors in Benjamin Rosman University(University of the Witwatersrand)

Co-Authors

H-index: 46
George Konidaris

George Konidaris

Brown University

H-index: 23
Andrew Saxe

Andrew Saxe

University of Oxford

H-index: 12
Ritesh Ajoodha

Ritesh Ajoodha

University of the Witwatersrand

H-index: 9
Steven James

Steven James

University of the Witwatersrand

H-index: 7
Orhan Can Görür

Orhan Can Görür

Technische Universität Berlin

H-index: 7
Mary Carman

Mary Carman

University of the Witwatersrand

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