Yordan Hristov
Yordan Hristov
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Subramanian Ramamoorthy
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Learning from Demonstration with Weakly Supervised Disentanglement
Composing Diverse Policies for Temporally Extended Tasks
Disentangled Relational Representations for Explaining and Learning from Demonstration
Hybrid system identification using switching density networks
Using Causal Analysis to Learn Specifications from Task Demonstrations
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL
Interpretable Latent Spaces for Learning from Demonstration
Grounding Symbols in Multi-Modal Instructions
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