Model Understanding / Multi-agent Reasoning / Modeling Uncertainty
Please excuse the lack of content while we migrate our research interests, publications, etc. to the new format. Details coming soon!
We fully discretize DreamerV2 and evaluate the discrete representation learned by the model.
Various model-based methods for extracting interpretable insights from discrete time series.
Capturing the agent’s behaviour through a policy representation that maps states of the world to actions.
Collection of capstone projects for final year CISC students
None currently available.
Dialogue Agents and Learning Constraints for SAT/CSPs