Deep Learning

La-MAML: Look-Ahead Meta-Learning for Continual Learning

In this work we develop a gradient-based meta-learning algorithm for efficient, online continual learning, that is robust and scalable to real-world visual benchmarks.

Autonomous Driving using IRL

Learning from Demonstrations with Inverse Reinforcement in CARLA