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Daniel Angelov
Daniel Angelov
Verified email at ed.ac.uk - Homepage
Title
Cited by
Cited by
Year
Disentangled Relational Representations for Explaining and Learning from Demonstration
Y Hristov, D Angelov, M Burke, A Lascarides, S Ramamoorthy
Conference on Robot Learning (CoRL), 2019
202019
Vid2param: Modeling of dynamics parameters from video
M Asenov, M Burke, D Angelov, T Davchev, K Subr, S Ramamoorthy
IEEE Robotics and Automation Letters 5 (2), 414-421, 2019
16*2019
Composing diverse policies for temporally extended tasks
D Angelov, Y Hristov, M Burke, S Ramamoorthy
IEEE Robotics and Automation Letters 5 (2), 2658-2665, 2020
122020
Using Causal Analysis to Learn Specifications from Task Demonstrations
D Angelov, Y Hristov, S Ramamoorthy
International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2019
72019
Learning robotic ultrasound scanning using probabilistic temporal ranking
M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy
arXiv preprint arXiv:2002.01240, 2020
32020
From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations
D Angelov, Y Hristov, S Ramamoorthy
Autonomous Agents and Multi-Agent Systems 34 (2), 1-19, 2020
22020
Learning from demonstration of trajectory preferences through causal modeling and inference
D Angelov, S Ramamoorthy
Robotics Science and Systems (RSS) Workshop, 2018
12018
Composing diverse policies for long-horizon tasks
DA Angelov
University of Edinburgh, 2021
2021
Learning rewards for robotic ultrasound scanning using probabilistic temporal ranking
M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy
arXiv preprint arXiv:2002.01240, 2020
2020
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL
D Angelov, Y Hristov, S Ramamoorthy
The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2019
2019
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Articles 1–10