default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBenjamin Rosman
Benjamin Saul Rosman
Person information
- affiliation: University of the Witwatersrand, Johannesburg, South Africa
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j14]Ofir Marom
, Benjamin Rosman:
Transferable dynamics models for efficient object-oriented reinforcement learning. Artif. Intell. 329: 104079 (2024)- [j13]Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Trans. Games 16(2): 459-469 (2024) - [c47]Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury:
The Zeno's Paradox of 'Low-Resource' Languages. EMNLP 2024: 17753-17774 - [c46]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. ICLR 2024 - [i35]Tristan Bester, Benjamin Rosman:
Towards Financially Inclusive Credit Products Through Financial Time Series Clustering. CoRR abs/2402.11066 (2024) - [i34]Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman:
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR abs/2407.01310 (2024) - [i33]Michael Beukman, Branden Ingram, Geraud Nangue Tasse, Benjamin Rosman, Pravesh Ranchod:
RobocupGym: A challenging continuous control benchmark in Robocup. CoRR abs/2407.14516 (2024) - [i32]Atnafu Lambebo Tonja, Bonaventure F. P. Dossou, Jessica Ojo, Jenalea Rajab, Fadel Thior, Eric Peter Wairagala, Aremu Anuoluwapo, Pelonomi Moiloa, Jade Abbott, Vukosi Marivate, Benjamin Rosman:
InkubaLM: A small language model for low-resource African languages. CoRR abs/2408.17024 (2024) - [i31]Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe:
On The Specialization of Neural Modules. CoRR abs/2409.14981 (2024) - 2023
- [j12]Tamlin Love, Ritesh Ajoodha, Benjamin Rosman:
Who should I trust? Cautiously learning with unreliable experts. Neural Comput. Appl. 35(23): 16865-16875 (2023) - [j11]Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman:
Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. IEEE Trans. Games 15(4): 507-516 (2023) - [j10]O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak:
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. ACM Trans. Hum. Robot Interact. 12(3): 38:1-38:54 (2023) - [c45]Michael Beukman, Branden Ingram, Ireton Liu, Benjamin Rosman:
Hierarchical WaveFunction Collapse. AIIDE 2023: 23-33 - [c44]Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman:
Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. AIIDE 2023: 255-265 - [c43]Siddarth Shandeep Singh, Benjamin Rosman:
The Challenge of Redundancy on Multi-agent Value Factorisation. AAMAS 2023: 2436-2438 - [c42]Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe:
On The Specialization of Neural Modules. ICLR 2023 - [c41]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS 2023 - [i30]Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. CoRR abs/2302.01561 (2023) - [i29]Siddarth Singh, Benjamin Rosman:
The challenge of redundancy on multi-agent value factorisation. CoRR abs/2304.00009 (2023) - [i28]Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR abs/2306.00035 (2023) - [i27]Rowan Hodson, Bruce Bassett, Charel van Hoof, Benjamin Rosman, Mark Solms, Jonathan P. Shock, Ryan Smith:
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning. CoRR abs/2308.08029 (2023) - [i26]Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman:
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR abs/2310.16686 (2023) - [i25]Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius:
Generalisable Agents for Neural Network Optimisation. CoRR abs/2311.18598 (2023) - [i24]Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse:
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR abs/2312.11364 (2023) - 2022
- [c40]Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman:
Reinforcement Learning in Education: A Multi-armed Bandit Approach. AFRICATEK 2022: 3-16 - [c39]Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein:
Play-style Identification through Deep Unsupervised Clustering of Trajectories. CoG 2022: 393-400 - [c38]Branden Ingram, Benjamin Rosman, Clint J. van Alten, Richard Klein:
Improved Action Prediction through Multiple Model Processing of Player Trajectories. CoG 2022: 548-551 - [c37]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c36]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR 2022 - [c35]Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti:
Reducing the Planning Horizon Through Reinforcement Learning. ECML/PKDD (4) 2022: 68-83 - [c34]Lindsay John Arendse, Branden Ingram, Benjamin Rosman:
Real Time In-Game Playstyle Classification Using a Hybrid Probabilistic Supervised Learning Approach. SACAIR 2022: 60-77 - [i23]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Abstract and Transferable Representations for Planning. CoRR abs/2205.02092 (2022) - [i22]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. CoRR abs/2205.08827 (2022) - [i21]Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman:
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR abs/2205.12532 (2022) - [i20]Geraud Nangue Tasse, Benjamin Rosman, Steven James:
World Value Functions: Knowledge Representation for Learning and Planning. CoRR abs/2206.11940 (2022) - [i19]Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman:
Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases. CoRR abs/2210.08528 (2022) - [i18]Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman:
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education. CoRR abs/2210.10657 (2022) - [i17]Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman:
Reinforcement Learning in Education: A Multi-Armed Bandit Approach. CoRR abs/2211.00779 (2022) - 2021
- [j9]Mary Carman, Benjamin Rosman:
Applying a principle of explicability to AI research in Africa: should we do it? Ethics Inf. Technol. 23(2): 107-117 (2021) - [j8]Caroline M. Gevaert, Mary Carman, Benjamin Rosman, Yola Georgiadou, Robert Soden:
Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns 2(11): 100363 (2021) - [i16]Kale-ab Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR abs/2102.01670 (2021) - [i15]O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak:
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. CoRR abs/2104.01976 (2021) - [i14]Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew C. Gombolay, Benjamin Rosman:
Learning to Follow Language Instructions with Compositional Policies. CoRR abs/2110.04647 (2021) - 2020
- [j7]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - [j6]Geethen Singh, Chevonne Reynolds, Marcus Byrne, Benjamin Rosman:
A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents. Remote. Sens. 12(24): 4021 (2020) - [c33]Ofir Marom, Benjamin Rosman:
Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics. ICAPS 2020: 560-568 - [c32]Steven James, Benjamin Rosman, George Konidaris:
Learning Portable Representations for High-Level Planning. ICML 2020: 4682-4691 - [c31]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. NeurIPS 2020 - [i13]Geraud Nangue Tasse, Steven James, Benjamin Rosman:
A Boolean Task Algebra for Reinforcement Learning. CoRR abs/2001.01394 (2020) - [i12]Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. CoRR abs/2004.03499 (2020)
2010 – 2019
- 2019
- [j5]Tadahiro Taniguchi, Justus H. Piater, Florentin Wörgötter, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop:
Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 11(4): 494-516 (2019) - [c30]O. Can Görür, Benjamin Rosman, Sahin Albayrak:
Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types. AAMAS 2019: 77-85 - [c29]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Composing Value Functions in Reinforcement Learning. ICML 2019: 6401-6409 - [c28]Perusha Moodley, Benjamin Rosman, Xia Hong:
Understanding Structure of Concurrent Actions. SGAI Conf. 2019: 78-90 - [i11]Montaser Mohammedalamen, Waleed D. Khamies, Benjamin Rosman:
Transfer Learning for Prosthetics Using Imitation Learning. CoRR abs/1901.04772 (2019) - [i10]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. CoRR abs/1905.12006 (2019) - [i9]Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge, Nigel Crowther, Vered Aharonson, Benjamin Rosman, David M. Rubin:
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks. CoRR abs/1908.11694 (2019) - [i8]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - 2018
- [j4]Ndivhuwo Makondo, Michihisa Hiratsuka, Benjamin Rosman, Osamu Hasegawa:
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations. J. Robotics Mechatronics 30(2): 265-281 (2018) - [c27]Ritesh Ajoodha, Benjamin Rosman:
Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data. AAAI Workshops 2018: 167-173 - [c26]Ofir Marom, Benjamin Rosman:
Belief Reward Shaping in Reinforcement Learning. AAAI 2018: 3762-3769 - [c25]Abdallah M. Bashir, Abubakr Hassan, Benjamin Rosman, Daniel Duma, Mohanad Ahmed:
Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems. ACLING 2018: 222-229 - [c24]O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak:
Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors. HRI 2018: 398-406 - [c23]Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman:
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization. ICLR (Poster) 2018 - [c22]Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa:
Accelerating Model Learning with Inter-Robot Knowledge Transfer. ICRA 2018: 2417-2424 - [c21]Richard Fisher, Benjamin Rosman, Vladimir Ivan:
Real-Time Motion Planning in Changing Environments Using Topology-Based Encoding of Past Knowledge. IROS 2018: 6512-6517 - [c20]Ofir Marom, Benjamin Rosman:
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning. NeurIPS 2018: 2297-2305 - [i7]Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman:
Reasoning about Unforeseen Possibilities During Policy Learning. CoRR abs/1801.03331 (2018) - [i6]Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop, Justus H. Piater, Florentin Wörgötter:
Symbol Emergence in Cognitive Developmental Systems: a Survey. CoRR abs/1801.08829 (2018) - [i5]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR abs/1807.04439 (2018) - 2017
- [c19]Steven James, George Dimitri Konidaris, Benjamin Rosman:
An Analysis of Monte Carlo Tree Search. AAAI 2017: 3576-3582 - [c18]Luke Nicholas Darlow, Benjamin Rosman:
Fingerprint minutiae extraction using deep learning. IJCB 2017: 22-30 - [c17]Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman:
Hierarchy Through Composition with Multitask LMDPs. ICML 2017: 3017-3026 - [c16]Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. UAI 2017 - [i4]Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman:
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization. CoRR abs/1708.00463 (2017) - 2016
- [j3]Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian policy reuse. Mach. Learn. 104(1): 99-127 (2016) - [c15]Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote:
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination 2016 - [c14]Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS 2016: 1315-1316 - [c13]Michihisa Hiratsuka, Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa:
Trajectory learning from human demonstrations via manifold mapping. IROS 2016: 3935-3940 - [i3]Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman:
Hierarchy through Composition with Linearly Solvable Markov Decision Processes. CoRR abs/1612.02757 (2016) - 2015
- [j2]Benjamin Rosman, Subramanian Ramamoorthy:
Action Priors for Learning Domain Invariances. IEEE Trans. Auton. Ment. Dev. 7(2): 107-118 (2015) - [c12]Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa:
Knowledge transfer for learning robot models via Local Procrustes Analysis. Humanoids 2015: 1075-1082 - [c11]Benjamin Rosman, Bradley Hayes, Brian Scassellati:
Enhancing agent safety through autonomous environment adaptation. ICDL-EPIROB 2015: 214-219 - [c10]Pravesh Ranchod, Benjamin Rosman, George Dimitri Konidaris:
Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. IROS 2015: 471-477 - [i2]Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian Policy Reuse. CoRR abs/1505.00284 (2015) - 2014
- [c9]Benjamin Saul Rosman:
Behavioural Domain Knowledge Transfer for Autonomous Agents. AAAI Fall Symposia 2014 - [c8]Ashley Kleinhans, Serge Thill, Benjamin Rosman, Renaud Detry, Bryan P. Tripp:
Modelling Primate Control of Grasping for Robotics Applications. ECCV Workshops (2) 2014: 438-447 - [c7]Benjamin Rosman:
Feature selection for domain knowledge representation through multitask learning. ICDL-EPIROB 2014: 216-221 - [c6]Benjamin Rosman, Subramanian Ramamoorthy:
Giving advice to agents with hidden goals. ICRA 2014: 1959-1964 - [c5]Benjamin Rosman, Subramanian Ramamoorthy, M. M. Hassan Mahmud, Pushmeet Kohli:
On user behaviour adaptation under interface change. IUI 2014: 273-278 - 2013
- [i1]M. M. Hassan Mahmud, Majd Hawasly, Benjamin Rosman, Subramanian Ramamoorthy:
Clustering Markov Decision Processes For Continual Transfer. CoRR abs/1311.3959 (2013) - 2012
- [c4]Benjamin Saul Rosman, Subramanian Ramamoorthy:
A Multitask Representation Using Reusable Local Policy Templates. AAAI Spring Symposium: Designing Intelligent Robots 2012 - [c3]Benjamin Rosman, Subramanian Ramamoorthy:
What good are actions? Accelerating learning using learned action priors. ICDL-EPIROB 2012: 1-6 - 2011
- [j1]Benjamin Rosman, Subramanian Ramamoorthy:
Learning spatial relationships between objects. Int. J. Robotics Res. 30(11): 1328-1342 (2011) - 2010
- [c2]Benjamin Rosman, Subramanian Ramamoorthy:
A game-theoretic procedure for learning hierarchically structured strategies. ICRA 2010: 2977-2983
2000 – 2009
- 2006
- [c1]Sarah Rauchas, Benjamin Rosman, George Dimitri Konidaris, Ian D. Sanders:
Language performance at high school and success in first year computer science. SIGCSE 2006: 398-402
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
