Modeling motor memory to enhance multiple task learning 

Identifying and leveraging structure in complex cooperative tasks for multi-agent reinforcement learning 

Quickly solving new tasks, with meta-learning and without 

Modeling, learning, and leveraging similarity 

Algorithms and systems for continual robot learning 

Contingency handling in mission planning for multi-robot teams 

Machine learning in interacting multi-agent systems 

Provable reinforcement learning for constrained and multi-agent control systems 

Reward shaping and social learning in self- organizing systems through multi-agent reinforcement learning 

Towards learning generalization 

Creating cross-modal, context-aware representations of music for downstream tasks 

Learning shared subspaces across multiple views and modalities 

Neuroscience inspired algorithms for lifelong learning and machine vision 

Robot life-long task learning from human demonstrations: a Bayesian approach 

Enhancing collaboration on the edge: communication, scheduling and learning 

Computational models and model-based fMRI studies in motor learning 

Scaling robot learning with skills 

Computational model of stroke therapy and long term recovery 

Machine learning paradigms for behavioral coding 

Optimizing task assignment for collaborative computing over heterogeneous network devices 

Spatiotemporal traffic forecasting in road networks 

Scalable exact inference in probabilistic graphical models on multi-core platforms 

Managing multi-party social dynamics for socially assistive robotics 

Leveraging prior experience for scalable transfer in robot learning 

Multimodal representation learning of affective behavior