Dream First, Learn Later: A New AI Approach Uses LLMs for Training Reinforcement

Reinforcement learning is a popular approach to training autonomous agents that can learn to perform complex tasks by interacting with their environment.

In order to help these agents learn, large language models (LLMs) have been used.

The question though, whether we should give up on using LLMs to aid RL agents?If not, how can we fix those problems and then use them again to guide RL agents?, asks Deryn Sharp.

Reddit Vote Flip Share 0 SharesRe-forcement learning, or reinforcement learning as we now call it, is a commonly used approach to train autonomous agents in order to make them better at performing tasks.

The challenge with this approach, however, is that the agents themselves do not usually learn by themselves; they need to be given external information.

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