CCN 2023 was in our very own Oxford and it was an enjoyable and insightful experience. Here I share some of the works that I found interesting at the conference with some of my thoughts: This is one is quite mathematically involved but tackles a very important problem of causal learning of not only the causality but also the necessary hyperparameters using variational inference. The amazing bit it is that it can explain several human behaviours (which might be often viewed as sub-optimal) through errors in estimating these hyperparameters or by having a preference and gathering evidence to test a hypothesis! I'd be very curious to see how this works out when you include action selection based on the learned causal model - and it's links to our work on safety-efficiency trade-off.
CCN 2023
CCN 2023
CCN 2023
CCN 2023 was in our very own Oxford and it was an enjoyable and insightful experience. Here I share some of the works that I found interesting at the conference with some of my thoughts: This is one is quite mathematically involved but tackles a very important problem of causal learning of not only the causality but also the necessary hyperparameters using variational inference. The amazing bit it is that it can explain several human behaviours (which might be often viewed as sub-optimal) through errors in estimating these hyperparameters or by having a preference and gathering evidence to test a hypothesis! I'd be very curious to see how this works out when you include action selection based on the learned causal model - and it's links to our work on safety-efficiency trade-off.