research
∙
07/24/2023
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Pre-trained large language models (LLMs) have recently achieved better g...
share
research
∙
05/19/2023
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
The progress of autonomous web navigation has been hindered by the depen...
research
∙
11/29/2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration
Microprocessor architects are increasingly resorting to domain-specific ...
research
∙
10/19/2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Reinforcement Learning (RL) algorithms are often known for sample ineffi...
research
∙
10/08/2022
Understanding HTML with Large Language Models
Large language models (LLMs) have shown exceptional performance on a var...
research
∙
05/25/2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
We tackle real-world problems with complex structures beyond the pixel-b...
research
∙
01/21/2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Many real-world problems are compositional - solving them requires compl...
research
∙
11/25/2021
Less is More: Generating Grounded Navigation Instructions from Landmarks
We study the automatic generation of navigation instructions from 360-de...
research
∙
03/02/2021
Adversarial Environment Generation for Learning to Navigate the Web
Learning to autonomously navigate the web is a difficult sequential deci...
research
∙
12/21/2018
Learning to Navigate the Web
Learning in environments with large state and action spaces, and sparse ...
research
∙
11/11/2018
User Modeling for Task Oriented Dialogues
We introduce end-to-end neural network based models for simulating users...
research
∙
04/19/2017
Global Relation Embedding for Relation Extraction
Recent studies have shown that embedding textual relations using deep ne...
research
∙
06/17/2016