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Understanding Structure of Concurrent Actions
Whereas most work in reinforcement learning (RL) ignores the structure or relationships between actions, in this paper we show that …
Perusha Moodley
,
Benjamin Rosman
,
Xia Hong
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Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types
As a key component of collaborative robots (cobots) working with humans, existing decision-making approaches try to model the …
Orhan Can Görür
,
Benjamin Rosman
,
Sahin Albayrak
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Composing Value Functions in Reinforcement Learning
An important property for lifelong-learning agents is the ability to combine existing skills to solve new unseen tasks. In general, …
Benjamin van Niekerk
,
Steven James
,
Adam Earle
,
Benjamin Rosman
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Supplementary Material
A Comparison Between Fully Connected and Deconvolutional Layers for Road Segmentation from Satellite Imagery
Semantic segmentation using fully convolutional networks has quickly become a popular solution as they provide very accurate per pixel …
Dhruv Bhugwan
,
Pravesh Ranchod
,
Richard Klein
,
Benjamin Rosman
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An Overview of Robot Vision
Robot vision is an interdisciplinary field that deals with how robots can be made to gain high-level understanding from digital images …
Beatrice van Eden
,
Benjamin Rosman
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Towards Improving Incremental Learning of Manipulator Kinematics with Inter-robot Knowledge Transfer
This paper investigates the improvement of learning sensorimotor models for developmental robots, in particular robot arm kinematics …
Ndivhuwo Makondo
,
Benjamin Rosman
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Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
Object-oriented representations in reinforcement learning have shown promise in transfer learning, with previous research introducing a …
Ofir Marom
,
Benjamin Rosman
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Supplementary Material
Implementation of a Neural Natural Language Understanding Component for Arabic Dialogue Systems
Natural Language Understanding (NLU) is considered a core component in implementing dialogue systems. NLU has been greatly enhanced by …
Abdallah Bashir
,
Abubakr Hassan
,
Benjamin Rosman
,
Daniel Duma
,
Mohanad Ahmed
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Real-time Motion Planning in Changing Environments Using Topology-based Encoding of Past Knowledge
Trajectory planning and replanning in complex environments often reuses very little information from the previous solutions. This is …
Richard Fisher
,
Benjamin Rosman
,
Vladimir Ivan
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Accelerating Model Learning with Inter-robot Knowledge Transfer
Online learning of a robot’s inverse dynamics model for trajectory tracking necessitates an interaction between the robot and its …
Ndivhuwo Makondo
,
Benjamin Rosman
,
Osamu Hasegawa
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