398 citations · 1.8k across the 163 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★ 7 cited
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★ 1 cited
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…