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Using Natural Language for Reward Shaping in Reinforcement Learning
v1v2 (latest)

Using Natural Language for Reward Shaping in Reinforcement Learning

International Joint Conference on Artificial Intelligence (IJCAI), 2019
5 March 2019
Prasoon Goyal
S. Niekum
Raymond J. Mooney
    LM&Ro
ArXiv (abs)PDFHTML

Papers citing "Using Natural Language for Reward Shaping in Reinforcement Learning"

19 / 119 papers shown
Choice Set Misspecification in Reward Inference
Choice Set Misspecification in Reward Inference
Rachel Freedman
Rohin Shah
Anca Dragan
164
19
0
19 Jan 2021
The RobotSlang Benchmark: Dialog-guided Robot Localization and
  Navigation
The RobotSlang Benchmark: Dialog-guided Robot Localization and NavigationConference on Robot Learning (CoRL), 2020
Shurjo Banerjee
Jesse Thomason
Jason J. Corso
LM&Ro
272
38
0
23 Oct 2020
Sentiment Analysis for Reinforcement Learning
Sentiment Analysis for Reinforcement Learning
Ameet Deshpande
Eve Fleisig
113
0
0
05 Oct 2020
Learning Rewards from Linguistic Feedback
Learning Rewards from Linguistic Feedback
T. Sumers
Mark K. Ho
Robert D. Hawkins
Karthik Narasimhan
Thomas Griffiths
320
60
0
30 Sep 2020
Document-editing Assistants and Model-based Reinforcement Learning as a
  Path to Conversational AI
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
Katya Kudashkina
P. Pilarski
R. Sutton
KELM
222
6
0
27 Aug 2020
Inverse Reinforcement Learning with Natural Language Goals
Inverse Reinforcement Learning with Natural Language Goals
Li Zhou
Kevin Small
336
39
0
16 Aug 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping
  Pixels to Rewards
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to RewardsConference on Robot Learning (CoRL), 2020
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
248
61
0
30 Jul 2020
An Overview of Natural Language State Representation for Reinforcement
  Learning
An Overview of Natural Language State Representation for Reinforcement Learning
Brielen Madureira
David Schlangen
OffRL
151
10
0
19 Jul 2020
Dialog as a Vehicle for Lifelong Learning
Dialog as a Vehicle for Lifelong Learning
Aishwarya Padmakumar
Raymond J. Mooney
110
2
0
26 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
311
282
0
15 May 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
ESPRIT: Explaining Solutions to Physical Reasoning TasksAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Nazneen Rajani
Rui Zhang
Y. Tan
Stephan Zheng
Jeremy C. Weiss
Aadit Vyas
Abhijit Gupta
Caiming Xiong
R. Socher
Dragomir R. Radev
ReLMLRM
224
22
0
02 May 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue
  Task
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
Katya Kudashkina
Valliappa Chockalingam
Graham W. Taylor
Michael Bowling
OffRLLLMAG
175
2
0
28 Apr 2020
Zero-Shot Compositional Policy Learning via Language Grounding
Zero-Shot Compositional Policy Learning via Language Grounding
Tianshi Cao
Jingkang Wang
Yining Zhang
S. Manivasagam
LM&Ro
211
3
0
15 Apr 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven
  Exploration
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven ExplorationNeural Information Processing Systems (NeurIPS), 2020
Cédric Colas
Tristan Karch
Nicolas Lair
Jean-Michel Dussoux
Clément Moulin-Frier
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&RoLLMAGLRM
236
134
0
21 Feb 2020
Language Grounding through Social Interactions and Curiosity-Driven
  Multi-Goal Learning
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Nicolas Lair
Cédric Colas
Rémy Portelas
Jean-Michel Dussoux
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&Ro
162
7
0
08 Nov 2019
Shaping Visual Representations with Language for Few-shot Classification
Shaping Visual Representations with Language for Few-shot ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Jesse Mu
Abigail Z. Jacobs
Noah D. Goodman
VLM
322
49
0
06 Nov 2019
Fast Task-Adaptation for Tasks Labeled Using Natural Language in
  Reinforcement Learning
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning
Matthias Hutsebaut-Buysse
Kevin Mets
Steven Latré
126
6
0
09 Oct 2019
Using Logical Specifications of Objectives in Multi-Objective
  Reinforcement Learning
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning
Max Ploner
Anand Balakrishnan
Sebastian Pohl
David Wingate
174
2
0
03 Oct 2019
A Survey of Reinforcement Learning Informed by Natural Language
A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
LM&RoKELMOffRLLRM
216
302
0
10 Jun 2019
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