Leonard Feuchtinger

CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing

The safe application of reinforcement learning (RL) requires generalization from limited training data to unseen scenarios. Yet, fulfilling tasks under changing circumstances is a key challenge in RL. Current state-of-the-art approaches for generalization apply data augmentation techniques to increa…