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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

30 June 2020
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
    BDL
    AI4CE
ArXivPDFHTML

Papers citing "MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning"

50 / 117 papers shown
Title
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Zechu Li
Yufeng Jin
Daniel Felipe Ordoñez Apraez
Claudio Semini
Puze Liu
Georgia Chalvatzaki
142
0
0
08 May 2025
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
Tin Ping Chan
Yunlong Cheng
Yizhan Zhu
Xiaofeng Gao
Guihai Chen
27
0
0
21 Apr 2025
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
Joshua McClellan
Greyson Brothers
Furong Huang
Pratap Tokekar
49
0
0
19 Mar 2025
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump
48
0
0
14 Mar 2025
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey
Joohwan Seo
Soochul Yoo
Junwoo Chang
Hyunseok An
Hyunwoo Ryu
Soomi Lee
Arvind Kruthiventy
Jongeun Choi
R. Horowitz
71
2
0
12 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data
Hui Li
Zhiguo Wang
Bohui Chen
Li Sheng
29
0
0
01 Mar 2025
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Equivariant Reinforcement Learning Frameworks for Quadrotor Low-Level Control
Beomyeol Yu
Taeyoung Lee
39
0
0
27 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto
P. DÓro
Amy Zhang
Yuandong Tian
Michael Rabbat
OffRL
36
3
0
28 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
73
0
0
02 Jan 2025
Equivariant Action Sampling for Reinforcement Learning and Planning
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
96
2
0
16 Dec 2024
Approximate Equivariance in Reinforcement Learning
Approximate Equivariance in Reinforcement Learning
Jung Yeon Park
Sujay Bhatt
Sihan Zeng
Lawson L. S. Wong
Alec Koppel
Sumitra Ganesh
Robin Walters
34
1
0
06 Nov 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown
Alexandru Cioba
Ilija Bogunovic
28
2
0
22 Oct 2024
Reinforcement Learning with Euclidean Data Augmentation for State-Based
  Continuous Control
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo
Dingyang Chen
Qi Zhang
OffRL
26
0
0
16 Oct 2024
Boosting Sample Efficiency and Generalization in Multi-agent
  Reinforcement Learning via Equivariance
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Joshua McClellan
Naveed Haghani
John Winder
Furong Huang
Pratap Tokekar
27
4
0
03 Oct 2024
Equivariant Reinforcement Learning under Partial Observability
Equivariant Reinforcement Learning under Partial Observability
Hai Nguyen
Andrea Baisero
David M. Klee
Dian Wang
Robert Platt
Christopher Amato
39
14
0
26 Aug 2024
Geometric Active Exploration in Markov Decision Processes: the Benefit
  of Abstraction
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
Ric De Santi
Federico Arangath Joseph
Noah Liniger
Mirco Mutti
Andreas Krause
AI4CE
43
1
0
18 Jul 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical
  Environments
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen
Ling Wang
Yu Du
Tianrui Xue
Fuchun Sun
Jianwei Zhang
Wenbing Huang
OffRL
49
1
0
17 Jul 2024
Deep reinforcement learning with symmetric data augmentation applied for
  aircraft lateral attitude tracking control
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking control
Yifei Li
E. Kampen
32
0
0
13 Jul 2024
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement
  Learning
SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher
Rishabh Agarwal
Yoshinobu Kawahara
OffRL
32
1
0
21 Jun 2024
Equivariant Offline Reinforcement Learning
Equivariant Offline Reinforcement Learning
Arsh Tangri
Ondrej Biza
Dian Wang
David M. Klee
Owen Howell
Robert Platt
OffRL
31
3
0
20 Jun 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Jiafei Lyu
Chenjia Bai
Jingwen Yang
Zongqing Lu
Xiu Li
30
8
0
24 May 2024
Spatio-temporal Value Semantics-based Abstraction for Dense Deep
  Reinforcement Learning
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning
Jihui Nie
Dehui Du
Jiangnan Zhao
AI4CE
32
0
0
24 May 2024
Improved Canonicalization for Model Agnostic Equivariance
Improved Canonicalization for Model Agnostic Equivariance
Siba Smarak Panigrahi
Arnab Kumar Mondal
36
3
0
23 May 2024
Symmetric Linear Bandits with Hidden Symmetry
Symmetric Linear Bandits with Hidden Symmetry
Nam-Phuong Tran
T. Ta
Debmalya Mandal
Long Tran-Thanh
43
0
0
22 May 2024
One-Shot Imitation Learning with Invariance Matching for Robotic
  Manipulation
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
Xinyu Zhang
Abdeslam Boularias
33
9
0
21 May 2024
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity
  Guarantees
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
Neelay Junnarkar
Murat Arcak
Peter M. Seiler
29
2
0
10 Apr 2024
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning
  with Asymmetric Rewards
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
Yasin Sonmez
Neelay Junnarkar
Murat Arcak
37
1
0
27 Mar 2024
Leveraging Symmetry in RL-based Legged Locomotion Control
Leveraging Symmetry in RL-based Legged Locomotion Control
Zhi Su
Xiaoyu Huang
Daniel Felipe Ordoñez Apraez
Yunfei Li
Zhongyu Li
...
Giulio Turrisi
Massimiliano Pontil
Claudio Semini
Yi Wu
K. Sreenath
33
14
0
26 Mar 2024
Equivariant Ensembles and Regularization for Reinforcement Learning in
  Map-based Path Planning
Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
Mirco Theile
Hongpeng Cao
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
35
2
0
19 Mar 2024
Symmetry Considerations for Learning Task Symmetric Robot Policies
Symmetry Considerations for Learning Task Symmetric Robot Policies
Mayank Mittal
N. Rudin
Victor Klemm
Arthur Allshire
Marco Hutter
38
10
0
07 Mar 2024
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial
  Observability with a Soft Wrist
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Hai Nguyen
Tadashi Kozuno
C. C. Beltran-Hernandez
Masashi Hamaya
43
6
0
28 Feb 2024
G-RepsNet: A Fast and General Construction of Equivariant Networks for
  Arbitrary Matrix Groups
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
Sourya Basu
Suhas Lohit
Matthew Brand
36
0
0
23 Feb 2024
Morphological Symmetries in Robotics
Morphological Symmetries in Robotics
Daniel Felipe Ordoñez Apraez
Giulio Turrisi
Vladimir Kostic
Mario Martin
Antonio Agudo
Francesc Moreno-Noguer
Massimiliano Pontil
Claudio Semini
Carlos Mastalli
AI4CE
37
6
0
23 Feb 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Simin Li
Shuhao Liao
Wenjun Wu
32
9
0
30 Dec 2023
An Investigation of Time Reversal Symmetry in Reinforcement Learning
An Investigation of Time Reversal Symmetry in Reinforcement Learning
Brett Barkley
Amy Zhang
David Fridovich-Keil
14
0
0
28 Nov 2023
Guided Data Augmentation for Offline Reinforcement Learning and
  Imitation Learning
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
Nicholas Corrado
Yu-Tao Qu
John U. Balis
Adam Labiosa
Josiah P. Hanna
OffRL
30
2
0
27 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit
  Model-Free Reinforcement Learning Updates
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
Nicholas Corrado
Josiah P. Hanna
21
4
0
26 Oct 2023
Neurosymbolic Grounding for Compositional World Models
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal
Arya Grayeli
Jennifer J. Sun
Swarat Chaudhuri
40
5
0
19 Oct 2023
Learning Layer-wise Equivariances Automatically using Gradients
Learning Layer-wise Equivariances Automatically using Gradients
Tycho F. A. van der Ouderaa
Alexander Immer
Mark van der Wilk
MLT
47
12
0
09 Oct 2023
Flow Factorized Representation Learning
Flow Factorized Representation Learning
Yue Song
Thomas Anderson Keller
N. Sebe
Max Welling
DRL
OOD
23
3
0
22 Sep 2023
E(2)-Equivariant Graph Planning for Navigation
E(2)-Equivariant Graph Planning for Navigation
Linfeng Zhao
Hongyu Li
T. Padır
Huaizu Jiang
Lawson L. S. Wong
25
6
0
22 Sep 2023
Equivariant Data Augmentation for Generalization in Offline
  Reinforcement Learning
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
Cristina Pinneri
Sarah Bechtle
Markus Wulfmeier
Arunkumar Byravan
Jingwei Zhang
William F. Whitney
Martin Riedmiller
OffRL
25
2
0
14 Sep 2023
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
Miguel Abreu
Luis Paulo Reis
N. Lau
33
5
0
06 Sep 2023
Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via
  Geometric Impedance Control
Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control
Joohwan Seo
N. Prakash
Xiang Zhang
Changhao Wang
Jongeun Choi
M. Tomizuka
R. Horowitz
24
12
0
29 Aug 2023
Symmetric Models for Visual Force Policy Learning
Symmetric Models for Visual Force Policy Learning
Colin Kohler
A. S. Srikanth
Eshan Arora
Robert W. Platt
27
7
0
28 Aug 2023
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative
  Multi-Agent Reinforcement Learning
E(3){\rm E}(3)E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
Dingyang Chen
Qi Zhang
33
2
0
23 Aug 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
22
1
0
14 Aug 2023
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Xin Yu
Rongye Shi
Pu Feng
Yongkai Tian
Jie Luo
Wenjun Wu
36
7
0
30 Jul 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and
  Planning?
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?
Linfeng Zhao
Owen Howell
Jung Yeon Park
Xu Zhu
Robin G. Walters
Lawson L. S. Wong
36
1
0
17 Jul 2023
Learning Continuous Control with Geometric Regularity from Robot
  Intrinsic Symmetry
Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan
Baohe Zhang
Yuan Zhang
Joschka Boedecker
Wolfram Burgard
16
2
0
28 Jun 2023
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