Name
Affiliation
Papers
BENJAMIN ROSMAN
University of the Witwatersrand, Johannesburg, South Africa
44
Collaborators
Citations 
PageRank 
86
88
17.29
Referers 
Referees 
References 
248
637
292
Search Limit
100637
Title
Citations
PageRank
Year
Generalisation in Lifelong Reinforcement Learning through Logical Composition00.342022
Improved Action Prediction through Multiple Model Processing of Player Trajectories00.342022
Play-style Identification through Deep Unsupervised Clustering of Trajectories10.402022
Applying A Principle Of Explicability To Ai Research In Africa: Should We Do It?10.372021
Fairness and accountability of AI in disaster risk management: Opportunities and challenges00.342021
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks10.352020
Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics.00.342020
A Remote Sensing Method To Monitor Water, Aquatic Vegetation, And Invasive Water Hyacinth At National Extents00.342020
A Boolean Task Algebra For Reinforcement Learning00.342020
Understanding Structure Of Concurrent Actions00.342019
Learning Portable Representations for High-Level Planning.00.342019
Composing Value Functions in Reinforcement Learning00.342019
Transfer Learning for Prosthetics Using Imitation Learning.00.342019
Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types00.342019
Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems.10.482018
Symbol Emergence in Cognitive Developmental Systems: A Survey30.392018
Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors.20.402018
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning.00.342018
Reasoning about Unforeseen Possibilities During Policy Learning.00.342018
Will it Blend? Composing Value Functions in Reinforcement Learning.00.342018
Belief Reward Shaping in Reinforcement Learning.00.342018
Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data.00.342018
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations.10.362018
Real-Time Motion Planning In Changing Environments Using Topology-Based Encoding Of Past Knowledge00.342018
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization.10.352017
Hierarchy Through Composition with Multitask LMDPs.50.432017
An Analysis of Monte Carlo Tree Search.20.392017
Online Constrained Model-Based Reinforcement Learning20.362017
Fingerprint minutiae extraction using deep learning60.552017
Hierarchy through Composition with Linearly Solvable Markov Decision Processes.00.342016
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract).20.362016
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach.30.392016
Enhancing agent safety through autonomous environment adaptation00.342015
Bayesian Policy Reuse70.472015
Action Priors for Learning Domain Invariances00.342015
Behavioural domain knowledge transfer for autonomous agents00.342014
Modelling Primate Control Of Grasping For Robotics Applications00.342014
Giving advice to agents with hidden goals20.452014
On user behaviour adaptation under interface change30.492014
Clustering Markov Decision Processes For Continual Transfer.30.402013
What good are actions? Accelerating learning using learned action priors80.532012
Learning spatial relationships between objects301.122011
A game-theoretic procedure for learning hierarchically structured strategies10.372010
Language performance at high school and success in first year computer science30.452006