Explore to Generalize in Zero-Shot RL 来自 arXiv.org 喜欢 0 阅读量: 1 作者:E Zisselman,I Lavie,D Soudry,A Tamar 摘要: We study zero-shot generalization in reinforcement learning-optimizing a policy on a set of training tasks to perform well on a similar but unseen test task. To ...
In-context learning is a prompting technique used with LLMs, particularly GPT-3, to facilitate few-shot learning. The idea is to provide examples of the desired input-output pairs within the prompt, allowing the model to generalize from these examples and produce the correct output for a given...
In-context learning is a prompting technique used with LLMs, particularly GPT-3, to facilitate few-shot learning. The idea is to provide examples of the desired input-output pairs within the prompt, allowing the model to generalize from these examples and produce the correct output for a given...