Publications

Yordan Hristov, Subramanian Ramamoorthy . Learning from Demonstration with Weakly Supervised Disentanglement. ICLR21, 2021.

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Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy . Composing Diverse Policies for Temporally Extended Tasks. In IEEE RA-L, 2020.

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Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy . Disentangled Relational Representations for Explaining and Learning from Demonstration. In CoRL19, 2019.

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Michael Burke, Yordan Hristov, Subramanian Ramamoorthy . Hybrid system identification using switching density networks. In CoRL19, 2019.

Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy . Using Causal Analysis to Learn Specifications from Task Demonstrations. In AAMAS19, 2019.

Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy . Interpretable Latent Spaces for Learning from Demonstration. In CoRL18, 2018.

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Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy . DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. In RLDM19, 2018.

Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy . Grounding Symbols in Multi-Modal Instructions. In RoboNLP, ACL17, 2017.