831 citations · 3.2k across the 65 of their papers we have counts for
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stat.ML2021★ 3 cited
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw, Stuart Russell
Existing observational approaches for learning human preferences, such as inverse reinforcement learning, usually make strong assumptions about the observability of the human's env…
stat.ML2013★ 4 cited
The Extended Parameter Filter
Yusuf Erol, Lei Li, Bharath Ramsundar +1
The parameters of temporal models, such as dynamic Bayesian networks, may be modelled in a Bayesian context as static or atemporal variables that influence transition probabilities…