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2020 – today
- 2020
[c3]Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell:
Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR 2020- [i6]Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike:
Quantifying Differences in Reward Functions. CoRR abs/2006.13900 (2020)
2010 – 2019
- 2019
- [i5]Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell:
Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR abs/1905.10615 (2019) - 2018
- [i4]Adam Gleave, Oliver Habryka:
Multi-task Maximum Entropy Inverse Reinforcement Learning. CoRR abs/1805.08882 (2018) - [i3]Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell:
Active Inverse Reward Design. CoRR abs/1809.03060 (2018) - [i2]Aaron Tucker, Adam Gleave, Stuart Russell:
Inverse reinforcement learning for video games. CoRR abs/1810.10593 (2018) - 2017
- [c2]Adam Gleave
, Christian Steinruecken:
Making Compression Algorithms for Unicode Text. DCC 2017: 441 - [i1]Adam Gleave, Christian Steinruecken:
Making compression algorithms for Unicode text. CoRR abs/1701.04047 (2017) - 2016
- [c1]Ionel Gog, Malte Schwarzkopf, Adam Gleave, Robert N. M. Watson, Steven Hand:
Firmament: Fast, Centralized Cluster Scheduling at Scale. OSDI 2016: 99-115
Coauthor Index
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