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Rehaan Ahmad

2 accepted papers

2023

Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning

CoRL 2023poster

In imitation and reinforcement learning (RL), the cost of human supervision limits the amount of data that the robots can be trained on. While RL offers a framework for building self-improving robots that can learn via trial-and-error autonomously, practical realizations end up requiring extensive h…

Cited by 16SourceScholar
2022

A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning

ICML 2022spotlight

While reinforcement learning (RL) provides a framework for learning through trial and error, translating RL algorithms into the real world has remained challenging. A major hurdle to real-world application arises from the development of algorithms in an episodic setting where the environment is rese…