JUST IN: A group of researchers has proposed ProCeedRL, a new reinforcement learning framework for language based agents that aims to correct errors in real time, reduce the impact of contextual noise, and improve performance on complex deep search and embodied planning tasks.


ProCeedRL uses a process level crit to detect faulty steps during the agent's interaction with its environment.
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