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Found 3 papers, 2 papers with code
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
This paper investigates how to incorporate expert observations (without explicit information on expert actions) into a deep reinforcement learning setting to improve sample efficiency.
Smooth Ranking SVM via Cutting-Plane Method
The most popular classification algorithms are designed to maximize classification accuracy during training.
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
Robustness and safety are critical for the trustworthy deployment of deep reinforcement learning.
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