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Found 5 papers, 0 papers with code
Multi-Objective Policy Gradients with Topological Constraints
Multi-objective optimization models that encode ordered sequential constraints provide a solution to model various challenging problems including encoding preferences, modeling a curriculum, and enforcing measures of safety.
Competence-Aware Path Planning via Introspective Perception
First, perception errors are learned in a model-free and location-agnostic setting via introspective perception prior to deployment in novel environments.
Improving Competence for Reliable Autonomy
Given the complexity of real-world, unstructured domains, it is often impossible or impractical to design models that include every feature needed to handle all possible scenarios that an autonomous system may encounter.
Learning to Optimize Autonomy in Competence-Aware Systems
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy autonomous systems in domains that require occasional reliance on humans.
Planning in Stochastic Environments with Goal Uncertainty
The framework extends the stochastic shortest path (SSP) model to dynamic environments in which it is impossible to determine the exact goal states ahead of plan execution.
