MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning

30 June 2020

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

50 / 117 papers shown

Title
Learning from Pixels with Expert Observations M. Hoang Long Dinh Hai V. Nguyen OffRL 30 2 0 24 Jun 2023
On Robot Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Guanang Su Ondrej Biza Robin G. Walters Robert W. Platt 21 9 0 10 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 50 23 0 05 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup D. Meger OffRL 23 44 0 04 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 7 0 02 Jun 2023
Symmetry-Aware Robot Design with Structured Subgroups Heng Dong Junyu Zhang Tonghan Wang Chongjie Zhang 27 10 0 31 May 2023
Group Invariant Global Pooling Kamil Bujel Yonatan Gideoni Chaitanya K. Joshi Pietro Lio' 37 0 0 30 May 2023
Subequivariant Graph Reinforcement Learning in 3D Environments Runfa Chen Jiaqi Han Fuchun Sun Wen-bing Huang OffRL 36 9 0 30 May 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks Honghao Wei Xin Liu Weina Wang Lei Ying 24 10 0 25 May 2023
Efficient Equivariant Transfer Learning from Pretrained Models Sourya Basu Pulkit Katdare P. Sattigeri Vijil Chenthamarakshan Katherine Driggs Campbell Payel Das L. Varshney 37 7 0 17 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang Xu Zhu Jung Yeon Park Mingxi Jia Guanang Su Robert W. Platt Robin G. Walters 26 13 0 08 Mar 2023
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity Kaushik Dey S. K. Perepu P. Dasgupta Abir Das 27 1 0 02 Mar 2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis Daniel Felipe Ordoñez Apraez Mario Martin Antonio Agudo Francesc Moreno-Noguer AI4CE 32 11 0 21 Feb 2023
Equivariant MuZero Andreea Deac T. Weber George Papamakarios 16 3 0 09 Feb 2023
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin G. Walters Robert W. Platt AAML 35 33 0 16 Nov 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 19 2 0 15 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 38 61 0 11 Nov 2022
Switching Attention in Time-Varying Environments via Bayesian Inference of Abstractions Meghan Booker Anirudha Majumdar 6 2 0 10 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 19 0 0 31 Oct 2022
Continual Vision-based Reinforcement Learning with Group Symmetries Shiqi Liu Mengdi Xu Piede Huang Yongkang Liu K. Oguchi Ding Zhao CLL VLM 42 10 0 21 Oct 2022
Equivariant Networks for Zero-Shot Coordination Darius Muglich Christian Schroeder de Witt Elise van der Pol Shimon Whiteson Jakob N. Foerster 50 13 0 21 Oct 2022
CUP: Critic-Guided Policy Reuse Jin Zhang Siyuan Li Chongjie Zhang 21 8 0 15 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models Sourya Basu P. Sattigeri K. Ramamurthy Vijil Chenthamarakshan Kush R. Varshney L. Varshney Payel Das 8 18 0 13 Oct 2022
Unsupervised Learning of Equivariant Structure from Sequences Takeru Miyato Masanori Koyama Kenji Fukumizu 15 12 0 12 Oct 2022
Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions Xiangtong Yao Zhenshan Bing Genghang Zhuang Ke Chen Hongkuan Zhou Kai Huang Alois C. Knoll 23 6 0 21 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 71 45 0 16 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
Using Forwards-Backwards Models to Approximate MDP Homomorphisms Augustine N. Mavor-Parker Matthew J. Sargent Christian Pehle Andrea Banino Lewis D. Griffin Caswell Barry 20 2 0 14 Sep 2022
Categorical semantics of compositional reinforcement learning Georgios Bakirtzis M. Savvas Ufuk Topcu CoGe 38 4 0 29 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 20 10 0 27 Aug 2022
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions Hamza Keurti Hsiao-Ru Pan M. Besserve Benjamin Grewe Bernhard Schölkopf AI4CE 29 13 0 25 Jul 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 26 22 0 17 Jun 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Equivariant Reinforcement Learning for Quadrotor UAV Beomyeol Yu Taeyoung Lee 30 7 0 02 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 76 78 0 26 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics S. Sun Robin G. Walters Jinxi Li Rose Yu 11 1 0 04 May 2022
Toward Compositional Generalization in Object-Oriented World Modeling Linfeng Zhao Lingzhi Kong Robin G. Walters Lawson L. S. Wong OCL 18 21 0 28 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan Willem van de Meent Robin G. Walters 23 42 0 24 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin G. Walters Robert W. Platt OffRL SSL 28 35 0 09 Mar 2022
$$\mathrm{SO}(2)$-Equivariant Reinforcement Learning$ $\mathrm{SO}(2)$ -Equivariant Reinforcement Learning Dian Wang Robin G. Walters Robert W. Platt 30 78 0 08 Mar 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 31 44 0 22 Feb 2022
Sample Efficient Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Ondrej Biza Guanang Su Robin G. Walters Robert W. Platt DRL 86 66 0 18 Feb 2022
Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment Chris Beeler Xinkai Li C. Bellinger Mark Crowley M. Fraser Isaac Tamblyn 32 1 0 29 Dec 2021
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 28 2 0 18 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 50 0 02 Dec 2021
Expert-Guided Symmetry Detection in Markov Decision Processes Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel 11 6 0 19 Nov 2021
A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer Andreas Radler Marius-Constantin Dinu M. Hofmarcher Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter OffRL 25 17 0 08 Nov 2021