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Can robots practice tasks on their own? We introduce a method for improving autonomy in robotic reinforcement learning. A thread 🧵
63,823 views • 3 years ago •via X (Twitter)
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In principle, reinforcement learning can allow robots to learn on their own. In practice, people need to spend significant effort to define rewards and "reset" the world between trials. Can a robot improve by itself?

Our approach, MEDAL++, has a simple procedure: 1. Human provides a few demos 2. Simultaneously: - learn a task reward function - learn 2 policies to do and undo the task

MEDAL++ allows robots to learn challenging tasks from camera image inputs, with a high degree of autonomy. Some important bits to get it to work: - heavy regularization on learned reward - regularize policy towards demos - wrist-mounted camera - RED-Q (

A challenging but rewarding project led by @archit_sharma97, @AhmedSQRD, Rehaan Ahmad Website: Paper: Code:

