2 papers
cs.LG2022
(When) Are Contrastive Explanations of Reinforcement Learning Helpful?
Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez
Global explanations of a reinforcement learning (RL) agent's expected behavior can make it safer to deploy. However, such explanations are often difficult to understand because of…
cs.LG2021
On Learning Prediction-Focused Mixtures
Abhishek Sharma, Catherine Zeng, Sanjana Narayanan +2
Probabilistic models help us encode latent structures that both model the data and are ideally also useful for specific downstream tasks. Among these, mixture models and their time…