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Found 5 papers, 2 papers with code
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
Policies often fail due to distribution shift -- changes in the state and reward that occur when a policy is deployed in new environments.
Learning to Extrapolate: A Transductive Approach
Machine learning systems, especially with overparameterized deep neural networks, can generalize to novel test instances drawn from the same distribution as the training data.
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
To address this, we propose a reward learning approach, Graph-based Equivalence Mappings (GEM), that can discover spatial goal representations that are aligned with the intended goal specification, enabling successful generalization in unseen environments.
Image interpretation by iterative bottom-up top-down processing
Scene understanding requires the extraction and representation of scene components together with their properties and inter-relations.
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
The ability to perceive and reason about social interactions in the context of physical environments is core to human social intelligence and human-machine cooperation.
