Owain Evans
TitleCited byYear
When will AI exceed human performance? Evidence from AI experts
K Grace, J Salvatier, A Dafoe, B Zhang, O Evans
Journal of Artificial Intelligence Research 62, 729-754, 2018
1932018
The malicious use of artificial intelligence: Forecasting, prevention, and mitigation
M Brundage, S Avin, J Clark, H Toner, P Eckersley, B Garfinkel, A Dafoe, ...
arXiv preprint arXiv:1802.07228, 2018
1342018
Help or hinder: Bayesian models of social goal inference
T Ullman, C Baker, O Macindoe, O Evans, N Goodman, JB Tenenbaum
Advances in neural information processing systems, 1874-1882, 2009
982009
Learning the Preferences of Ignorant, Inconsistent Agents
O Evans, A Stuhlmüller, ND Goodman
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-2016), 2016
532016
Trial without error: Towards safe reinforcement learning via human intervention
W Saunders, G Sastry, A Stuhlmueller, O Evans
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
492018
Agent-Agnostic Human-in-the-Loop Reinforcement Learning
D Abel, J Salvatier, A Stuhlmüller, O Evans
arXiv:1701.0407, 2017
192017
Learning the Preferences of Bounded Agents
O Evans, A Stuhlmüller, ND Goodman
Advances in Neural Information Processing Systems (Bounded Optimality Workshop), 2015
192015
Learning structured preferences
O Evans, L Bergen, JB Tenenbaum
Proceedings of the 32nd annual conference of the cognitive science society, 2010
14*2010
Active Reinforcement Learning: Observing Rewards at a Cost
D Krueger, J Leike, O Evans, J Salvatier
NIPS 2016 Workshop, 2016
62016
Modeling Agents with Probabilistic Programs
O Evans, A Stuhlmüller, J Salvatier, D Filan
agentmodels.org, 2017
32017
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
H Chan, Y Wu, J Kiros, S Fidler, J Ba
arXiv preprint arXiv:1902.04546, 2019
22019
Active reinforcement learning with monte-carlo tree search
S Schulze, O Evans
arXiv preprint arXiv:1803.04926, 2018
22018
Predicting Human Deliberative Judgments with Machine Learning
O Evans, A Stuhlmüller, C Cundy, R Carey, Z Kenton, T McGrath, ...
FHI Technical Report, 2018
12018
Generalizing from a few environments in safety-critical reinforcement learning
Z Kenton, A Filos, O Evans, Y Gal
arXiv preprint arXiv:1907.01475, 2019
2019
GENERALIZING FROM A FEW ENVIRONMENTS IN SAFETY-CRITICAL REINFORCEMENT LEARNING
ZKAFY Gal, O Evans
David Abel
MK Ho
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Articles 1–16