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Found 7 papers, 1 papers with code
Axioms for Learning from Pairwise Comparisons
To be well-behaved, systems that process preference data must satisfy certain conditions identified by economic decision theory and by social choice theory.
Envy-Free Classification
In classic fair division problems such as cake cutting and rent division, envy-freeness requires that each individual (weakly) prefer his allocation to anyone else's.
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
To ensure that agents behave in ways aligned with the values of the societies in which they operate, we must develop techniques that allow these agents to not only maximize their reward in an environment, but also to learn and follow the implicit constraints of society.
Multi-Objective Reinforcement Learning
reinforcement-learning
Loss Functions, Axioms, and Peer Review
The key challenge that arises is the specification of a loss function for ERM.
A Voting-Based System for Ethical Decision Making
We present a general approach to automating ethical decisions, drawing on machine learning and computational social choice.
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Moreover, algorithms for lifted inference in multi-valued domains also compute a multi-valued extension of count symmetries only.
