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2203.05960
Cited By
Policy Architectures for Compositional Generalization in Control
10 March 2022
Allan Zhou
Vikash Kumar
Chelsea Finn
Aravind Rajeswaran
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Papers citing
"Policy Architectures for Compositional Generalization in Control"
19 / 19 papers shown
Learning Interactive World Model for Object-Centric Reinforcement Learning
Fan Feng
Phillip Lippe
Sara Magliacane
OffRL
OCL
312
0
0
04 Nov 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
Zefang Zong
Xiaochen Wei
Guozhen Zhang
Chen Gao
Huandong Wang
Yong Li
227
0
0
07 May 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
556
5
0
23 Oct 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
International Conference on Learning Representations (ICLR), 2024
Anthony GX-Chen
Kenneth Marino
Rob Fergus
OCL
515
1
0
21 Aug 2024
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
622
14
0
26 May 2024
Learning Causal Dynamics Models in Object-Oriented Environments
Zhongwei Yu
Jingqing Ruan
Dengpeng Xing
233
4
0
21 May 2024
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
Junyao Shi
Jianing Qian
Yecheng Jason Ma
Dinesh Jayaraman
OCL
273
15
0
20 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati
Tal Daniel
Aviv Tamar
LM&Ro
OffRL
OCL
250
22
0
01 Apr 2024
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
Jensen Gao
Annie Xie
Ted Xiao
Chelsea Finn
Dorsa Sadigh
385
34
0
08 Mar 2024
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Fan Feng
Sara Magliacane
OffRL
OCL
253
15
0
18 Jul 2023
Masked Trajectory Models for Prediction, Representation, and Control
International Conference on Machine Learning (ICML), 2023
Philipp Wu
Arjun Majumdar
Kevin Stone
Yixin Lin
Igor Mordatch
Pieter Abbeel
Aravind Rajeswaran
OffRL
193
52
0
04 May 2023
Learning to Extrapolate: A Transductive Approach
International Conference on Learning Representations (ICLR), 2023
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Jianchao Tan
Pulkit Agrawal
257
21
0
27 Apr 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Jaesik Yoon
Yi-Fu Wu
Heechul Bae
Sungjin Ahn
OCL
364
53
0
09 Feb 2023
A Survey on Compositional Generalization in Applications
Baihan Lin
Djallel Bouneffouf
Irina Rish
AI4CE
331
16
0
02 Feb 2023
Language-guided Task Adaptation for Imitation Learning
Prasoon Goyal
Raymond J. Mooney
S. Niekum
LM&Ro
198
2
0
24 Jan 2023
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
International Conference on Learning Representations (ICLR), 2022
Hiroki Furuta
Yusuke Iwasawa
Yutaka Matsuo
S. Gu
238
21
0
25 Nov 2022
MoCoDA: Model-based Counterfactual Data Augmentation
Neural Information Processing Systems (NeurIPS), 2022
Silviu Pitis
Elliot Creager
Ajay Mandlekar
Animesh Garg
OffRL
187
49
0
20 Oct 2022
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2022
Zheng Wu
Yichen Xie
Wenzhao Lian
Changhao Wang
Yanjiang Guo
Jianyu Chen
S. Schaal
Masayoshi Tomizuka
OffRL
256
12
0
01 Oct 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Fan Feng
Erdun Gao
Kun Zhang
Sara Magliacane
CML
OffRL
329
41
0
30 Mar 2022
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