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Found 3 papers, 1 papers with code
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities
Generic `toxicity' classifiers continue to be used for evaluating the potential for harm in natural language generation, despite mounting evidence of their shortcomings.
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Multiple-Intent Inverse Reinforcement Learning (MI-IRL) seeks to find a reward function ensemble to rationalize demonstrations of different but unlabelled intents.
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
This improves the previous heuristic derivation of the MaxEnt IRL model (for stochastic MDPs), allows a unified view of MaxEnt IRL and Relative Entropy IRL, and leads to a model-free learning algorithm for the MaxEnt IRL model.
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