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Found 5 papers, 3 papers with code
Evaluating the Text-to-SQL Capabilities of Large Language Models
We perform an empirical evaluation of Text-to-SQL capabilities of the Codex language model.
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
We present Myriad, a testbed written in JAX for learning and planning in real-world continuous environments.
Pretraining Representations for Data-Efficient Reinforcement Learning
Data efficiency is a key challenge for deep reinforcement learning.
Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
Data efficiency poses a major challenge for deep reinforcement learning.
In Search of Robust Measures of Generalization
A large volume of work aims to close this gap, primarily by developing bounds on generalization error, optimization error, and excess risk.
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