Tom Everitt
Tom Everitt
Senior researcher at DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
AI safety gridworlds
J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ...
arXiv preprint arXiv:1711.09883, 2017
1822017
Scalable agent alignment via reward modeling: a research direction
J Leike, D Krueger, T Everitt, M Martic, V Maini, S Legg
arXiv preprint arXiv:1811.07871, 2018
662018
AGI safety literature review
T Everitt, G Lea, M Hutter
International Joint Conference on AI (IJCAI), 2018
652018
Reinforcement Learning with Corrupted Reward Channel
T Everitt, V Krakovna, L Orseau, M Hutter, S Legg
26th International Joint Conference on Artificial Intelligence (IJCAI), 2017
592017
Count-based exploration in feature space for reinforcement learning
J Martin, SN Sasikumar, T Everitt, M Hutter
International Joint Conference on AI (IJCAI), 2017
552017
Avoiding wireheading with value reinforcement learning
T Everitt, M Hutter
International Conference on Artificial General Intelligence (AGI), 12-22, 2016
312016
Self-modification of policy and utility function in rational agents
T Everitt, D Filan, M Daswani, M Hutter
International Conference on Artificial General Intelligence (AGI), 1-11, 2016
242016
Towards safe artificial general intelligence
T Everitt
PQDT-Global, 2019
222019
Understanding agent incentives using causal influence diagrams. Part I: Single action settings
T Everitt, PA Ortega, E Barnes, S Legg
arXiv preprint arXiv:1902.09980, 2019
192019
Universal artificial intelligence
T Everitt, M Hutter
Foundations of Trusted Autonomy, 15-46, 2018
162018
Reward tampering problems and solutions in reinforcement learning: A causal influence diagram perspective
T Everitt, M Hutter, R Kumar, V Krakovna
Synthese, 2021
152021
Specification gaming: the flip side of AI ingenuity
V Krakovna, J Uesato, V Mikulik, M Rahtz, T Everitt, R Kumar, Z Kenton, ...
DeepMind Blog, 2020
142020
Free lunch for optimisation under the universal distribution
T Everitt, T Lattimore, M Hutter
2014 IEEE Congress on Evolutionary Computation (CEC), 167-174, 2014
142014
Modeling AGI safety frameworks with causal influence diagrams
T Everitt, R Kumar, V Krakovna, S Legg
arXiv preprint arXiv:1906.08663, 2019
122019
Analytical results on the BFS vs. DFS algorithm selection problem. Part I: tree search
T Everitt, M Hutter
Australasian Joint Conference on Artificial Intelligence, 157-165, 2015
122015
Artificial general intelligence
T Everitt, B Goertzel, A Potapov
Lecture Notes in Artificial Intelligence. Heidelberg: Springer, 2017
112017
Death and suicide in universal artificial intelligence
J Martin, T Everitt, M Hutter
International Conference on Artificial General Intelligence, 23-32, 2016
112016
Sequential extensions of causal and evidential decision theory
T Everitt, J Leike, M Hutter
International Conference on Algorithmic Decision Theory, 205-221, 2015
112015
Analytical results on the BFS vs. DFS algorithm selection problem: Part II: Graph search
T Everitt, M Hutter
Australasian Joint Conference on Artificial Intelligence, 166-178, 2015
102015
Can we measure the difficulty of an optimization problem?
T Alpcan, T Everitt, M Hutter
2014 IEEE Information Theory Workshop (ITW 2014), 356-360, 2014
102014
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