25 citations · 96 across the 17 of their papers we have counts for
5 papers · 1 filter
Pretrained Embeddings as a Behavior Specification Mechanism
Parv Kapoor, Abigail Hammer, Ashish Kapoor +2
We propose an approach to formally specifying the behavioral properties of systems that rely on a perception model for interactions with the physical world. The key idea is to intr…
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
Daniel McDuff, Yale Song, Jiyoung Lee +7
The ability to perform causal and counterfactual reasoning are central properties of human intelligence. Decision-making systems that can perform these types of reasoning have the…
Helping Reduce Environmental Impact of Aviation with Machine Learning
Ashish Kapoor
Commercial aviation is one of the biggest contributors towards climate change. We propose to reduce environmental impact of aviation by considering solutions that would reduce the…
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
Daniel McDuff, Ashish Kapoor
As people learn to navigate the world, autonomic nervous system (e.g., "fight or flight") responses provide intrinsic feedback about the potential consequence of action choices (e.…
Active Learning amidst Logical Knowledge
Emmanouil Antonios Platanios, Ashish Kapoor, Eric Horvitz
Structured prediction is ubiquitous in applications of machine learning such as knowledge extraction and natural language processing. Structure often can be formulated in terms of…