ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.05080
  4. Cited By
Semantic Exploration from Language Abstractions and Pretrained
  Representations

Semantic Exploration from Language Abstractions and Pretrained Representations

8 April 2022
Allison C. Tam
Neil C. Rabinowitz
Andrew Kyle Lampinen
Nicholas A. Roy
Stephanie C. Y. Chan
D. Strouse
Jane X. Wang
Andrea Banino
Felix Hill
    LM&Ro
ArXivPDFHTML

Papers citing "Semantic Exploration from Language Abstractions and Pretrained Representations"

50 / 52 papers shown
Title
SySLLM: Generating Synthesized Policy Summaries for Reinforcement Learning Agents Using Large Language Models
Sahar Admoni
Omer Ben-Porat
Ofra Amir
LLMAG
49
0
0
13 Mar 2025
SYNERGAI: Perception Alignment for Human-Robot Collaboration
SYNERGAI: Perception Alignment for Human-Robot Collaboration
Yixin Chen
Guoxi Zhang
Yaowei Zhang
Hongming Xu
Peiyuan Zhi
Qing Li
Siyuan Huang
37
0
0
24 Sep 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
53
1
0
21 Aug 2024
Visual Grounding for Object-Level Generalization in Reinforcement
  Learning
Visual Grounding for Object-Level Generalization in Reinforcement Learning
Haobin Jiang
Zongqing Lu
LM&Ro
34
2
0
04 Aug 2024
Improving Sample Efficiency of Reinforcement Learning with Background
  Knowledge from Large Language Models
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
Fuxiang Zhang
Junyou Li
Yi-Chen Li
Zongzhang Zhang
Yang Yu
Deheng Ye
OffRL
KELM
47
1
0
04 Jul 2024
ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
Ye Won Byun
Cathy Jiao
Shahriar Noroozizadeh
Jimin Sun
Rosa Vitiello
VLM
44
1
0
25 Jun 2024
Policy Learning with a Language Bottleneck
Policy Learning with a Language Bottleneck
Megha Srivastava
Cédric Colas
Dorsa Sadigh
Jacob Andreas
40
3
0
07 May 2024
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds
Sima Team
Maria Abi Raad
Arun Ahuja
Catarina Barros
F. Besse
...
Daan Wierstra
Duncan Williams
Nathaniel Wong
Sarah York
Nick Young
LM&Ro
115
38
0
13 Mar 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
30
15
0
06 Feb 2024
Large Language Models for Robotics: Opportunities, Challenges, and
  Perspectives
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives
Jiaqi Wang
Zihao Wu
Yiwei Li
Hanqi Jiang
Peng Shu
...
Lin Zhao
Bao Ge
Xiang Li
Tianming Liu
Shu Zhang
LM&Ro
37
60
0
09 Jan 2024
Vision-Language Models as a Source of Rewards
Vision-Language Models as a Source of Rewards
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
Harris Chan
Gheorghe Comanici
...
Yannick Schroecker
Stephen Spencer
Richie Steigerwald
Luyu Wang
Lei Zhang
VLM
LRM
42
26
0
14 Dec 2023
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven
  Differentiable Physics
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
Zhiao Huang
Feng Chen
Yewen Pu
Chun-Tse Lin
Hao Su
Chuang Gan
24
4
0
11 Dec 2023
Robot Learning in the Era of Foundation Models: A Survey
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao
Jiahang Liu
Zhipeng Wang
Yanmin Zhou
Yong Qi
Qian Cheng
Bin He
Shuo Jiang
AI4CE
LM&Ro
23
26
0
24 Nov 2023
Improve the efficiency of deep reinforcement learning through semantic
  exploration guided by natural language
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Zhourui Guo
Meng Yao
Yang Yu
Qiyue Yin
OnRL
28
1
0
21 Sep 2023
Developmental Scaffolding with Large Language Models
Developmental Scaffolding with Large Language Models
Batuhan Celik
Alper Ahmetoglu
Emre Ugur
Erhan Öztop
LM&Ro
LLMAG
28
3
0
02 Sep 2023
Learning to Model the World with Language
Learning to Model the World with Language
Jessy Lin
Yuqing Du
Olivia Watkins
Danijar Hafner
Pieter Abbeel
Dan Klein
Anca Dragan
LM&Ro
SyDa
26
51
0
31 Jul 2023
Selective Perception: Optimizing State Descriptions with Reinforcement
  Learning for Language Model Actors
Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors
Kolby Nottingham
Yasaman Razeghi
Kyungmin Kim
JB Lanier
Pierre Baldi
Roy Fox
Sameer Singh
28
9
0
21 Jul 2023
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with
  Language Models
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang
Chen Wang
Ruohan Zhang
Yunzhu Li
Jiajun Wu
Li Fei-Fei
LM&Ro
33
480
0
12 Jul 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer
Thomas Adler
M. Hofmarcher
Sepp Hochreiter
21
9
0
15 Jun 2023
Embodied Executable Policy Learning with Language-based Scene
  Summarization
Embodied Executable Policy Learning with Language-based Scene Summarization
Jielin Qiu
Mengdi Xu
William Jongwon Han
Seungwhan Moon
Ding Zhao
LM&Ro
24
7
0
09 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual
  MDPs
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff
Minqi Jiang
Roberta Raileanu
38
13
0
05 Jun 2023
LIV: Language-Image Representations and Rewards for Robotic Control
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma
William Liang
Vaidehi Som
Vikash Kumar
Amy Zhang
Osbert Bastani
Dinesh Jayaraman
LM&Ro
33
121
0
01 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
35
5
0
18 May 2023
Language Instructed Reinforcement Learning for Human-AI Coordination
Language Instructed Reinforcement Learning for Human-AI Coordination
Hengyuan Hu
Dorsa Sadigh
LM&Ro
35
60
0
13 Apr 2023
Training Language Models with Language Feedback at Scale
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
39
101
0
28 Mar 2023
Architext: Language-Driven Generative Architecture Design
Architext: Language-Driven Generative Architecture Design
Theodoros Galanos
Antonios Liapis
Georgios N. Yannakakis
VLM
AI4CE
26
6
0
13 Mar 2023
Foundation Models for Decision Making: Problems, Methods, and
  Opportunities
Foundation Models for Decision Making: Problems, Methods, and Opportunities
Sherry Yang
Ofir Nachum
Yilun Du
Jason W. Wei
Pieter Abbeel
Dale Schuurmans
LM&Ro
OffRL
LRM
AI4CE
90
155
0
07 Mar 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du
Olivia Watkins
Zihan Wang
Cédric Colas
Trevor Darrell
Pieter Abbeel
Abhishek Gupta
Jacob Andreas
LM&Ro
21
174
0
13 Feb 2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in
  ScienceWorld
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld
Laetitia Teodorescu
Eric Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
24
1
0
10 Feb 2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Distilling Internet-Scale Vision-Language Models into Embodied Agents
T. Sumers
Kenneth Marino
Arun Ahuja
Rob Fergus
Ishita Dasgupta
LM&Ro
28
24
0
29 Jan 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making
  using Language Guided World Modelling
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
Kolby Nottingham
Prithviraj Ammanabrolu
Alane Suhr
Yejin Choi
Hannaneh Hajishirzi
Sameer Singh
Roy Fox
LLMAG
LM&Ro
44
77
0
28 Jan 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We
  Detect Cardiovascular Disease Through Language Models?
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Jielin Qiu
William Jongwon Han
Jiacheng Zhu
Mengdi Xu
Michael A. Rosenberg
Emerson Liu
Douglas Weber
Ding Zhao
29
21
0
21 Jan 2023
On the Effect of Pre-training for Transformer in Different Modality on
  Offline Reinforcement Learning
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
S. Takagi
OffRL
18
7
0
17 Nov 2022
What is Wrong with Language Models that Can Not Tell a Story?
What is Wrong with Language Models that Can Not Tell a Story?
Ivan P. Yamshchikov
Alexey Tikhonov
22
6
0
09 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
39
7
0
09 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey
Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie
Zichuan Lin
Junyou Li
Shuai Li
Deheng Ye
OffRL
OnRL
AI4CE
26
23
0
08 Nov 2022
Large Language Models can Implement Policy Iteration
Large Language Models can Implement Policy Iteration
Ethan A. Brooks
Logan Walls
Richard L. Lewis
Satinder Singh
LM&Ro
OffRL
134
21
0
07 Oct 2022
Improving Policy Learning via Language Dynamics Distillation
Improving Policy Learning via Language Dynamics Distillation
Victor Zhong
Jesse Mu
Luke Zettlemoyer
Edward Grefenstette
Tim Rocktaschel
OffRL
38
15
0
30 Sep 2022
TextWorldExpress: Simulating Text Games at One Million Steps Per Second
TextWorldExpress: Simulating Text Games at One Million Steps Per Second
Peter Alexander Jansen
Marc-Alexandre Côté
VLM
LRM
29
6
0
01 Aug 2022
Automatic Exploration of Textual Environments with Language-Conditioned
  Autotelic Agents
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
Laetitia Teodorescu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
LLMAG
27
0
0
08 Jul 2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in
  Language-guided RL
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Thomas Carta
Pierre-Yves Oudeyer
Olivier Sigaud
Sylvain Lamprier
OffRL
23
24
0
20 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas L. Griffiths
Dylan Hadfield-Menell
LM&Ro
32
20
0
16 Jun 2022
Language and Culture Internalisation for Human-Like Autotelic AI
Language and Culture Internalisation for Human-Like Autotelic AI
Cédric Colas
Tristan Karch
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
32
25
0
02 Jun 2022
History Compression via Language Models in Reinforcement Learning
History Compression via Language Models in Reinforcement Learning
Fabian Paischer
Thomas Adler
Vihang Patil
Angela Bitto-Nemling
Markus Holzleitner
Sebastian Lehner
Hamid Eghbalzadeh
Sepp Hochreiter
OffRL
AI4TS
18
42
0
24 May 2022
Training Language Models with Language Feedback
Training Language Models with Language Feedback
Jérémy Scheurer
Jon Ander Campos
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
38
47
0
29 Apr 2022
Improving Intrinsic Exploration with Language Abstractions
Improving Intrinsic Exploration with Language Abstractions
Jesse Mu
Victor Zhong
Roberta Raileanu
Minqi Jiang
Noah D. Goodman
Tim Rocktaschel
Edward Grefenstette
103
63
0
17 Feb 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang
Xufang Luo
Keith Ross
Dongsheng Li
OffRL
26
49
0
17 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
137
95
0
28 Jan 2022
Tell me why! Explanations support learning relational and causal
  structure
Tell me why! Explanations support learning relational and causal structure
Andrew Kyle Lampinen
Nicholas A. Roy
Ishita Dasgupta
Stephanie C. Y. Chan
Allison C. Tam
...
Chen Yan
Adam Santoro
Neil C. Rabinowitz
Jane X. Wang
Felix Hill
30
45
0
07 Dec 2021
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
Yilun Du
Chuang Gan
Phillip Isola
SSL
LM&Ro
112
40
0
03 May 2021
12
Next