117 citations · 184 across the 11 of their papers we have counts for
Showing 2016 · cs.AIShow all
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cs.AI2016
Death and Suicide in Universal Artificial Intelligence
Jarryd Martin, Tom Everitt, Marcus Hutter
Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics. AIXI is a…
cs.AI2016
Avoiding Wireheading with Value Reinforcement Learning
Tom Everitt, Marcus Hutter
How can we design good goals for arbitrarily intelligent agents? Reinforcement learning (RL) is a natural approach. Unfortunately, RL does not work well for generally intelligent a…
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…