On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

Zichang Ge, Changyu Chen, Arunesh Sinha +1

In real-world sequential decision making tasks like autonomous driving, robotics, and healthcare, learning from observed state-action trajectories is critical for tasks like imitat…