2 papers
cs.LG2026
Remember, Don't Re-read: Stateful ReAct Agents for Token-Efficient Autonomous Experimentation
Faramarz Jabbarvaziri
The autoresearch pattern enables autonomous experimentation by having a large language model (LLM) iteratively modify code to optimize a target metric. Its stateless design, howeve…
cs.LG2021
Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks
Seyedrazieh Bayati, Faramarz Jabbarvaziri
In this paper, we propose a machine learning (ML) method to learn how to solve a generic constrained continuous optimization problem. To the best of our knowledge, the generic meth…