831 citations · 3.2k across the 65 of their papers we have counts for
5 papers · 1 filter
The Off-Switch Game
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel +1
It is clear that one of the primary tools we can use to mitigate the potential risk from a misbehaving AI system is the ability to turn the system off. As the capabilities of AI sy…
Swift: Compiled Inference for Probabilistic Programming Languages
Yi Wu, Lei Li, Stuart Russell +1
A probabilistic program defines a probability measure over its semantic structures. One common goal of probabilistic programming languages (PPLs) is to compute posterior probabilit…
Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel +1
For an autonomous system to be helpful to humans and to pose no unwarranted risks, it needs to align its values with those of the humans in its environment in such a way that its a…
Towards Practical Bayesian Parameter and State Estimation
Yusuf Bugra Erol, Yi Wu, Lei Li +1
Joint state and parameter estimation is a core problem for dynamic Bayesian networks. Although modern probabilistic inference toolkits make it relatively easy to specify large and…
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart Russell, Daniel Dewey, Max Tegmark
Success in the quest for artificial intelligence has the potential to bring unprecedented benefits to humanity, and it is therefore worthwhile to investigate how to maximize these…