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Found 6 papers, 4 papers with code
Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents
In this work, we study white-box adversarial policies and show that having access to a target agent's internal state can be useful for identifying its vulnerabilities.
Multiple Sclerosis Severity Classification From Clinical Text
Next, we present MSBC, a classifier that applies MS-BERT to generate embeddings and predict EDSS and functional subscores.
Kernelized Capsule Networks
Capsule Networks attempt to represent patterns in images in a way that preserves hierarchical spatial relationships.
Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
Decision trees are ubiquitous in machine learning for their ease of use and interpretability.
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
We introduce a new formulation of the Hidden Parameter Markov Decision Process (HiP-MDP), a framework for modeling families of related tasks using low-dimensional latent embeddings.
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes
Due to physiological variation, patients diagnosed with the same condition may exhibit divergent, but related, responses to the same treatments.
