Fábio Ramos

Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds

2018 · arXiv (Cornell University)

Conditional kernel mean embeddings are nonparametric models that encode conditional expectations in a reproducing kernel Hilbert space. While they provide a flexible and powerful framework for probabilistic inference, their performance is highly dependent on the …

Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills

2022 · arXiv (Cornell University)

Deep reinforcement learning (RL) is a promising approach to solving complex robotics problems. However, the process of learning through trial-and-error interactions is often highly time-consuming, despite recent advancements in RL algorithms. Additionally, the success of …