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Daniel Angelov
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2020 – today
- 2023
- [j5]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots 47(6): 733-751 (2023) - 2020
- [j4]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. Auton. Agents Multi Agent Syst. 34(2): 45 (2020) - [j3]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics Autom. Lett. 5(2): 414-421 (2020) - [j2]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5(2): 2658-2665 (2020) - [j1]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". IEEE Robotics Autom. Lett. 5(2): 2872 (2020) - [i7]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR abs/2002.01240 (2020) - [i6]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR abs/2006.11300 (2020)
2010 – 2019
- 2019
- [c2]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS 2019: 1341-1349 - [c1]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL 2019: 870-884 - [i5]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR abs/1903.01267 (2019) - [i4]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR abs/1906.10099 (2019) - [i3]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Online system identification from video for robotics applications. CoRR abs/1907.06422 (2019) - [i2]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. CoRR abs/1907.08199 (2019) - [i1]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR abs/1907.13627 (2019)
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