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1806.01946
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Learning to Understand Goal Specifications by Modelling Reward
5 June 2018
Dzmitry Bahdanau
Felix Hill
Jan Leike
Edward Hughes
Seyedarian Hosseini
Pushmeet Kohli
Edward Grefenstette
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Papers citing
"Learning to Understand Goal Specifications by Modelling Reward"
50 / 105 papers shown
Feudal Reinforcement Learning by Reading Manuals
Kai Wang
Zhonghao Wang
Mo Yu
Humphrey Shi
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203
0
0
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Interactive Hierarchical Guidance using Language
Bharat Prakash
Nicholas R. Waytowich
Tim Oates
T. Mohsenin
LM&Ro
168
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0
09 Oct 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Chengqi Zhang
AI4CE
185
22
0
21 Sep 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
Ning Wei
Jiahua Liang
Di Xie
Shiliang Pu
168
0
0
06 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
336
182
0
02 Sep 2021
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Kaylee Burns
Christopher D. Manning
Li Fei-Fei
178
0
0
20 Jul 2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis
Chris Paxton
Dieter Fox
Animesh Garg
Yoav Artzi
LM&Ro
528
157
0
12 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
257
6
0
02 Jul 2021
Grounding Spatio-Temporal Language with Transformers
Tristan Karch
Laetitia Teodorescu
Katja Hofmann
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
244
11
0
16 Jun 2021
Learning What To Do by Simulating the Past
International Conference on Learning Representations (ICLR), 2021
David Lindner
Rohin Shah
Pieter Abbeel
Anca Dragan
142
4
0
08 Apr 2021
ELLA: Exploration through Learned Language Abstraction
Neural Information Processing Systems (NeurIPS), 2021
Suvir Mirchandani
Siddharth Karamcheti
Dorsa Sadigh
LLMAG
177
62
0
10 Mar 2021
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions
International Conference on Machine Learning (ICML), 2021
Ethan A. Brooks
Janarthanan Rajendran
Richard L. Lewis
Satinder Singh
143
10
0
25 Feb 2021
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Julia Ive
A. Li
Yishu Miao
Ozan Caglayan
Pranava Madhyastha
Lucia Specia
188
12
0
22 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
International Conference on Machine Learning (ICML), 2021
Pashootan Vaezipoor
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
AI4CE
351
94
0
13 Feb 2021
Adversarially Guided Actor-Critic
International Conference on Learning Representations (ICLR), 2021
Yannis Flet-Berliac
Johan Ferret
Olivier Pietquin
Philippe Preux
Matthieu Geist
166
78
0
08 Feb 2021
Natural Language Specification of Reinforcement Learning Policies through Differentiable Decision Trees
IEEE Robotics and Automation Letters (RA-L), 2021
Pradyumna Tambwekar
Andrew Silva
N. Gopalan
Matthew C. Gombolay
268
10
0
18 Jan 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Journal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
862
120
0
17 Dec 2020
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
392
236
0
15 Dec 2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas Griffiths
255
4
0
27 Nov 2020
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation
IEEE International Joint Conference on Neural Network (IJCNN), 2020
K. Shubham
Gopalakrishnan Venkatesh
Reijul Sachdev
Akshi
D. Jayagopi
G. Srinivasaraghavan
GAN
203
6
0
02 Nov 2020
Learning Rewards from Linguistic Feedback
T. Sumers
Mark K. Ho
Robert D. Hawkins
Karthik Narasimhan
Thomas Griffiths
338
60
0
30 Sep 2020
Inverse Reinforcement Learning with Natural Language Goals
Li Zhou
Kevin Small
375
39
0
16 Aug 2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Conference on Robot Learning (CoRL), 2020
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
254
61
0
30 Jul 2020
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning
Matthias Hutsebaut-Buysse
Kevin Mets
Steven Latré
LM&Ro
OffRL
OnRL
88
6
0
10 Jul 2020
Quantifying Differences in Reward Functions
International Conference on Learning Representations (ICLR), 2020
Adam Gleave
Michael Dennis
Shane Legg
Stuart J. Russell
Jan Leike
OffRL
319
73
0
24 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
285
134
0
22 Jun 2020
Grounding Language to Autonomously-Acquired Skills via Goal Generation
Ahmed Akakzia
Cédric Colas
Pierre-Yves Oudeyer
Mohamed Chetouani
Olivier Sigaud
LM&Ro
227
3
0
12 Jun 2020
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL
Cédric Colas
Ahmed Akakzia
Pierre-Yves Oudeyer
Mohamed Chetouani
Olivier Sigaud
LM&Ro
201
20
0
12 Jun 2020
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
Felix Hill
Soňa Mokrá
Nathaniel Wong
Tim Harley
LM&Ro
221
91
0
19 May 2020
SpatialSim: Recognizing Spatial Configurations of Objects with Graph Neural Networks
Laetitia Teodorescu
Katja Hofmann
Pierre-Yves Oudeyer
208
1
0
09 Apr 2020
Deep Sets for Generalization in RL
Tristan Karch
Cédric Colas
Laetitia Teodorescu
Clément Moulin-Frier
Pierre-Yves Oudeyer
OffRL
AI4CE
120
6
0
20 Mar 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Neural Information Processing Systems (NeurIPS), 2020
Cédric Colas
Tristan Karch
Nicolas Lair
Jean-Michel Dussoux
Clément Moulin-Frier
Peter Ford Dominey
Pierre-Yves Oudeyer
LM&Ro
LLMAG
LRM
253
134
0
21 Feb 2020
Combating False Negatives in Adversarial Imitation Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Konrad Zolna
Chitwan Saharia
Léonard Boussioux
D. Y. Hui
Maxime Chevalier-Boisvert
Dzmitry Bahdanau
Yoshua Bengio
147
8
0
02 Feb 2020
Following Instructions by Imagining and Reaching Visual Goals
John D. Kanu
Eadom Dessalene
Xiaomin Lin
Cornelia Fermuller
Yiannis Aloimonos
99
7
0
25 Jan 2020
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
Michiel van der Meer
Matteo Pirotta
Elia Bruni
166
1
0
13 Jan 2020
What Can Learned Intrinsic Rewards Capture?
International Conference on Machine Learning (ICML), 2019
Zeyu Zheng
Junhyuk Oh
Matteo Hessel
Zhongwen Xu
M. Kroiss
H. V. Hasselt
David Silver
Satinder Singh
302
81
0
11 Dec 2019
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
163
7
0
08 Nov 2019
Shaping Visual Representations with Language for Few-shot Classification
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Jesse Mu
Abigail Z. Jacobs
Noah D. Goodman
VLM
331
49
0
06 Nov 2019
Positive-Unlabeled Reward Learning
Conference on Robot Learning (CoRL), 2019
Danfei Xu
Misha Denil
230
44
0
01 Nov 2019
HIGhER : Improving instruction following with Hindsight Generation for Experience Replay
Geoffrey Cideron
Mathieu Seurin
Florian Strub
Olivier Pietquin
228
37
0
21 Oct 2019
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
1.8K
2,212
0
18 Sep 2019
Mastering emergent language: learning to guide in simulated navigation
Mathijs Mul
Diane Bouchacourt
Elia Bruni
LLMAG
149
9
0
14 Aug 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2019
Yiding Jiang
S. Gu
Kevin Patrick Murphy
Chelsea Finn
OffRL
255
238
0
18 Jun 2019
A Survey of Reinforcement Learning Informed by Natural Language
International 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&Ro
KELM
OffRL
LRM
224
303
0
10 Jun 2019
An Extensible Interactive Interface for Agent Design
Matthew Rahtz
James Fang
Anca Dragan
Dylan Hadfield-Menell
261
1
0
06 Jun 2019
Using Natural Language for Reward Shaping in Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Prasoon Goyal
S. Niekum
Raymond J. Mooney
LM&Ro
580
203
0
05 Mar 2019
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal
Chen Liang
Dale Schuurmans
Mohammad Norouzi
OffRL
471
103
0
19 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Harris Chan
Yuhuai Wu
J. Kiros
Sanja Fidler
Jimmy Ba
199
34
0
12 Feb 2019
Preferences Implicit in the State of the World
International Conference on Learning Representations (ICLR), 2019
Rohin Shah
Dmitrii Krasheninnikov
Jordan Alexander
Pieter Abbeel
Anca Dragan
270
57
0
12 Feb 2019
Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
Aishwarya Agrawal
Mateusz Malinowski
Felix Hill
S. M. Ali Eslami
Oriol Vinyals
Tejas D. Kulkarni
180
4
0
03 Dec 2018
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