Combating False Negatives in Adversarial Imitation Learning. Domain-Adversarial and -Conditional State Space Model for Imitation Learning. CO-Optimal Transport. A Probabilistic Framework for Imitating Human Race Driver Behavior. Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. Experimental Studies in …

Understanding the (Un)interpretability of Natural Image Distributions Using Generative Models. MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. Universal Safeguarded Learned Convex Optimization with Guaranteed Convergence. Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combinati …