research
∙
03/06/2023
PaLM-E: An Embodied Multimodal Language Model
Large language models excel at a wide range of complex tasks. However, e...
share
research
∙
03/01/2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control
Recent progress in large language models (LLMs) has demonstrated the abi...
research
∙
09/16/2022
Code as Policies: Language Model Programs for Embodied Control
Large language models (LLMs) trained on code completion have been shown ...
research
∙
07/12/2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
Recent works have shown how the reasoning capabilities of Large Language...
research
∙
01/18/2022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Can world knowledge learned by large language models (LLMs) be used to a...
research
∙
11/04/2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
Dexterous manipulation of arbitrary objects, a fundamental daily task fo...
research
∙
07/09/2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Reinforcement learning is typically concerned with learning control poli...
research
∙
01/13/2019
Decentralized Asynchronous Coded Caching Design and Performance Analysis in Fog Radio Access Networks
In this paper, we investigate the problem of asynchronous coded caching ...
research
∙
06/24/2018
