research
∙
05/25/2023
Voyager: An Open-Ended Embodied Agent with Large Language Models
We introduce Voyager, the first LLM-powered embodied lifelong learning a...
share
research
∙
03/04/2023
Prismer: A Vision-Language Model with An Ensemble of Experts
Recent vision-language models have shown impressive multi-modal generati...
research
∙
02/09/2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Augmenting pretrained language models (LMs) with a vision encoder (e.g.,...
research
∙
06/17/2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Autonomous agents have made great strides in specialist domains like Ata...
research
∙
03/22/2022
MetaMorph: Learning Universal Controllers with Transformers
Multiple domains like vision, natural language, and audio are witnessing...
research
∙
02/03/2022
Pre-Trained Language Models for Interactive Decision-Making
Language model (LM) pre-training has proven useful for a wide variety of...
research
∙
06/17/2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Generalization has been a long-standing challenge for reinforcement lear...
research
∙
12/05/2020
iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
We present iGibson, a novel simulation environment to develop robotic so...
research
∙
09/27/2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
We present an overview of SURREAL-System, a reproducible, flexible, and ...
research
∙
01/13/2017
Kernel Approximation Methods for Speech Recognition
We study large-scale kernel methods for acoustic modeling in speech reco...
research
∙
03/18/2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
We study large-scale kernel methods for acoustic modeling and compare to...
research
∙
12/08/2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
We show that an end-to-end deep learning approach can be used to recogni...
research
∙
11/14/2014