It is well known that Reinforcement Learning (RL) can be formulated as a...
We propose a new framework for imitation learning - treating imitation a...
Deploying Reinforcement Learning (RL) agents in the real-world require t...
Imitation learning is well-suited for robotic tasks where it is difficul...
We propose Learning Off-Policy with Online Planning (LOOP), combining th...
We explore the application of normalizing flows for improving the perfor...