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Active Reinforcement Learning: Observing Rewards at a Cost
David Krueger, Jan Leike, Owain Evans +1
Active reinforcement learning (ARL) is a variant on reinforcement learning where the agent does not observe the reward unless it chooses to pay a query cost c > 0. The central ques…
Hidden Incentives for Auto-Induced Distributional Shift
David Krueger, Tegan Maharaj, Jan Leike
Decisions made by machine learning systems have increasing influence on the world, yet it is common for machine learning algorithms to assume that no such influence exists. An exam…
Quantifying Differences in Reward Functions
Adam Gleave, Michael Dennis, Shane Legg +2
For many tasks, the reward function is inaccessible to introspection or too complex to be specified procedurally, and must instead be learned from user data. Prior work has evaluat…