5 citations · 6 across the 2 of their papers we have counts for
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cs.AI2018
Exploring Hierarchy-Aware Inverse Reinforcement Learning
Chris Cundy, Daniel Filan
We introduce a new generative model for human planning under the Bayesian Inverse Reinforcement Learning (BIRL) framework which takes into account the fact that humans often plan u…
cs.AI2016
Self-Modification of Policy and Utility Function in Rational Agents
Tom Everitt, Daniel Filan, Mayank Daswani +1
Any agent that is part of the environment it interacts with and has versatile actuators (such as arms and fingers), will in principle have the ability to self-modify -- for example…