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A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) algorithms infer a reward function that explains demonstrations provided by an expert acting in …
Adam Gleave, Sam Toyer
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Uncertainty Estimation for Language Reward Models
Language models can learn a range of capabilities from unsupervised training on text corpora. However, to solve a particular problem …
Adam Gleave, Geoffrey Irving
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Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
It’s challenging to design reward functions for complex, real-world tasks. Reward learning lets one instead infer reward …
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