When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning

Neural Information Processing Systems 

A long-term goal of reinforcement learning is to design agents that can autonomously interact and learn in the world. A critical challenge to such autonomy is the presence of irreversible states which require external assistance to recover from, such as when a robot arm has pushed an object off of a table.

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