Daniel Angelov

14 papers A 1Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
2020	J	`jnl`	Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
2020	J	`jnl`	Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". IEEE Robotics Autom. Lett. Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
2020	J	`jnl`	From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2020	J	`jnl`	From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. Auton. Agents Multi Agent Syst. Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2020	J	`jnl`	Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
2020	J	`jnl`	Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics Autom. Lett. Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
2019	J	`jnl`	Composing Diverse Policies for Temporally Extended Tasks. CoRR Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
2019	Misc	`conf`	Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
2019	J	`jnl`	Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
2019	J	`jnl`	DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2019	A	`conf`	Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2019	J	`jnl`	Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
2019	J	`jnl`	Vid2Param: Online system identification from video for robotics applications. CoRR Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy