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1706.06383
Cited By
Programmable Agents
20 June 2017
Misha Denil
Sergio Gomez Colmenarejo
Serkan Cabi
D. Saxton
Nando de Freitas
AI4CE
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Papers citing
"Programmable Agents"
30 / 30 papers shown
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
528
2
0
07 Apr 2025
Identifying Selections for Unsupervised Subtask Discovery
Neural Information Processing Systems (NeurIPS), 2024
Yiwen Qiu
Yujia Zheng
Kun Zhang
218
1
0
28 Oct 2024
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
International Conference on Machine Learning (ICML), 2022
Rafael Rodríguez-Sánchez
Benjamin A. Spiegel
Jenny Wang
Roma Patel
Stefanie Tellex
George Konidaris
150
4
0
12 Aug 2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
Conference on Robot Learning (CoRL), 2022
Christopher Agia
Krishna Murthy Jatavallabhula
M. Khodeir
O. Mikšík
Vibhav Vineet
Mustafa Mukadam
Liam Paull
Florian Shkurti
282
98
0
11 Jul 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization
Austin W. Hanjie
Ameet Deshpande
Karthik Narasimhan
VLM
323
2
0
26 Feb 2022
Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks
Ramnath Kumar
T. Deleu
Yoshua Bengio
217
0
0
27 Jan 2022
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
318
182
0
02 Sep 2021
Robust Counterfactual Explanations on Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Mohit Bajaj
Lingyang Chu
Zihui Xue
Jian Pei
Lanjun Wang
P. C. Lam
Yong Zhang
OOD
425
114
0
08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
188
8
0
26 Jun 2021
How Attentive are Graph Attention Networks?
International Conference on Learning Representations (ICLR), 2021
Shaked Brody
Uri Alon
Eran Yahav
GNN
499
1,487
0
30 May 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
327
95
0
13 Feb 2021
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
848
317
0
15 Aug 2020
Neural Shape Parsers for Constructive Solid Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Gopal Sharma
Rishabh Goyal
Difan Liu
E. Kalogerakis
Subhransu Maji
3DPC
3DV
128
31
0
22 Dec 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
Neural Information Processing Systems (NeurIPS), 2019
Thomas Pierrot
Guillaume Ligner
Scott E. Reed
Olivier Sigaud
Nicolas Perrin
Alexandre Laterre
David Kas
Karim Beguir
Nando de Freitas
288
42
0
30 May 2019
Continual and Multi-task Reinforcement Learning With Shared Episodic Memory
A. Sorokin
Andrey Kravchenko
KELM
CLL
116
5
0
07 May 2019
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
887
278
0
26 Apr 2019
CompILE: Compositional Imitation Learning and Execution
Thomas Kipf
Yujia Li
H. Dai
V. Zambaldi
Alvaro Sanchez-Gonzalez
Edward Grefenstette
Pushmeet Kohli
Peter W. Battaglia
VLM
225
14
0
04 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
953
2,387
0
27 Nov 2018
Learning to Understand Goal Specifications by Modelling Reward
Dzmitry Bahdanau
Felix Hill
Jan Leike
Edward Hughes
Seyedarian Hosseini
Pushmeet Kohli
Edward Grefenstette
518
165
0
05 Jun 2018
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
356
231
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
1.3K
3,398
0
04 Jun 2018
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations
Jonathan Tremblay
Thang To
Artem Molchanov
Stephen Tyree
Jan Kautz
Stan Birchfield
234
39
0
18 May 2018
Composable Planning with Attributes
International Conference on Machine Learning (ICML), 2018
Amy Zhang
Adam Lerer
Sainbayar Sukhbaatar
Rob Fergus
Arthur Szlam
359
67
0
01 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
International Conference on Learning Representations (ICLR), 2018
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
BDL
OCL
DRL
393
297
0
28 Feb 2018
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Da Xiao
Jonathan Liao
Xingyuan Yuan
NAI
145
14
0
08 Feb 2018
CSGNet: Neural Shape Parser for Constructive Solid Geometry
Gopal Sharma
Rishabh Goyal
Difan Liu
E. Kalogerakis
Subhransu Maji
3DV
266
206
0
22 Dec 2017
Embodied Question Answering
Abhishek Das
Samyak Datta
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
353
713
0
30 Nov 2017
Learning with Latent Language
Jacob Andreas
Dan Klein
Sergey Levine
269
138
0
01 Nov 2017
Graph Attention Networks
International Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
3.8K
24,093
0
30 Oct 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi
Sergio Gomez Colmenarejo
Matthew W. Hoffman
Misha Denil
Ziyun Wang
Nando de Freitas
179
31
0
11 Jul 2017
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