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Multimodal foundation world models for generalist embodied agents

Multimodal foundation world models for generalist embodied agents

26 June 2024
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Aaron C. Courville
Sai Rajeswar
    OffRL
    LM&Ro
ArXivPDFHTML

Papers citing "Multimodal foundation world models for generalist embodied agents"

4 / 4 papers shown
Title
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
Sijia Chen
Yibo Wang
Yi-Feng Wu
Qing-Guo Chen
Zhao Xu
Weihua Luo
Kaifu Zhang
Lijun Zhang
LLMAG
LRM
46
10
0
11 Jun 2024
Vision-Language Models are Zero-Shot Reward Models for Reinforcement
  Learning
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde
Victoriano Montesinos
Elvis Nava
Ethan Perez
David Lindner
VLM
31
73
0
19 Oct 2023
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
206
832
0
12 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,662
0
04 May 2020
1