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. 2209.04665
  4. Cited By
Ask Before You Act: Generalising to Novel Environments by Asking
  Questions
v1v2 (latest)

Ask Before You Act: Generalising to Novel Environments by Asking Questions

10 September 2022
Ross Murphy
S. Mosesov
Javier Leguina Peral
Thymo ter Doest
    LRM
ArXiv (abs)PDFHTML

Papers citing "Ask Before You Act: Generalising to Novel Environments by Asking Questions"

17 / 17 papers shown
Title
RTFM: Generalising to Novel Environment Dynamics via Reading
RTFM: Generalising to Novel Environment Dynamics via Reading
Victor Zhong
Tim Rocktaschel
Edward Grefenstette
LLMAGOffRLAI4CE
91
54
0
18 Oct 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
67
225
0
18 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&RoKELMOffRLLRM
101
282
0
10 Jun 2019
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-Learning
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
79
64
0
19 Nov 2018
Learning by Asking Questions
Learning by Asking Questions
Ishan Misra
Ross B. Girshick
Rob Fergus
M. Hebert
Abhinav Gupta
Laurens van der Maaten
71
84
0
04 Dec 2017
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
372
2,239
0
22 Sep 2017
Grounding Language for Transfer in Deep Reinforcement Learning
Grounding Language for Transfer in Deep Reinforcement Learning
Karthik Narasimhan
Regina Barzilay
Tommi Jaakkola
LM&RoOffRL
98
25
0
01 Aug 2017
Guiding Reinforcement Learning Exploration Using Natural Language
Guiding Reinforcement Learning Exploration Using Natural Language
Brent Harrison
Upol Ehsan
Mark O. Riedl
OffRL
129
28
0
26 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
577
19,315
0
20 Jul 2017
Grounded Language Learning in a Simulated 3D World
Grounded Language Learning in a Simulated 3D World
Karl Moritz Hermann
Felix Hill
Simon Green
Fumin Wang
Ryan Faulkner
...
Denis Teplyashin
Marcus Wainwright
C. Apps
Demis Hassabis
Phil Blunsom
LM&Ro
77
306
0
20 Jun 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
319
2,392
0
20 Dec 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
177
7,678
0
22 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive
  Models
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Bradly C. Stadie
Sergey Levine
Pieter Abbeel
97
505
0
03 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
135
3,442
0
08 Jun 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
238
5,512
0
03 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Learning to Win by Reading Manuals in a Monte-Carlo Framework
Learning to Win by Reading Manuals in a Monte-Carlo Framework
S. Branavan
David Silver
Regina Barzilay
111
191
0
18 Jan 2014
1