research
∙
09/19/2023
Explaining Agent Behavior with Large Language Models
Intelligent agents such as robots are increasingly deployed in real-worl...
share
research
∙
06/21/2023
Introspective Action Advising for Interpretable Transfer Learning
Transfer learning can be applied in deep reinforcement learning to accel...
research
∙
05/23/2023
APPLS: A Meta-evaluation Testbed for Plain Language Summarization
While there has been significant development of models for Plain Languag...
research
∙
11/22/2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Meta-learning of numerical algorithms for a given task consist of the da...
research
∙
11/15/2022
Explainable Action Advising for Multi-Agent Reinforcement Learning
Action advising is a knowledge transfer technique for reinforcement lear...
research
∙
11/07/2022
CELLS: A Parallel Corpus for Biomedical Lay Language Generation
Recent lay language generation systems have used Transformer models trai...
research
∙
05/04/2021
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators
We study the meta-learning of numerical algorithms for scientific comput...
research
∙
11/19/2019
