Daiyi Peng

Evolving Reinforcement Learning Algorithms

2021 · arXiv (Cornell University)

We propose a method for meta-learning reinforcement learning algorithms by searching over the space of computational graphs which compute the loss function for a value-based model-free RL agent to optimize. The learned algorithms are domain-agnostic …

OmniPred: Language Models as Universal Regressors

2024 · arXiv (Cornell University)

Regression is a powerful tool to accurately predict the outcome metric of a system given a set of parameters, but has traditionally been restricted to methods which are only applicable to a specific task. In …