| 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 | 193 | 2018 |
| 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 | 134 | 2018 |
| 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 | 98 | 2009 |
| 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 | 53 | 2016 |
| 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 | 49 | 2018 |
| Agent-Agnostic Human-in-the-Loop Reinforcement Learning D Abel, J Salvatier, A Stuhlmüller, O Evans arXiv:1701.0407, 2017 | 19 | 2017 |
| Learning the Preferences of Bounded Agents O Evans, A Stuhlmüller, ND Goodman Advances in Neural Information Processing Systems (Bounded Optimality Workshop), 2015 | 19 | 2015 |
| 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 | 6 | 2016 |
| Modeling Agents with Probabilistic Programs O Evans, A Stuhlmüller, J Salvatier, D Filan agentmodels.org, 2017 | 3 | 2017 |
| 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 | 2 | 2019 |
| Active reinforcement learning with monte-carlo tree search S Schulze, O Evans arXiv preprint arXiv:1803.04926, 2018 | 2 | 2018 |
| Predicting Human Deliberative Judgments with Machine Learning O Evans, A Stuhlmüller, C Cundy, R Carey, Z Kenton, T McGrath, ... FHI Technical Report, 2018 | 1 | 2018 |
| 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 | | |
Andreas StuhlmüllerOughtVerified email at ought.org
