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

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

17 / 117 papers shown

Title
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 22 20 0 02 Nov 2021
Equivariant $Q$ Learning in Spatial Action Spaces Dian Wang Robin G. Walters Xu Zhu Robert W. Platt 27 72 0 28 Oct 2021
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 11 44 0 27 Oct 2021
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences Toby Johnstone Nathan Grinsztajn Johan Ferret Philippe Preux 21 0 0 20 Oct 2021
Equivariant and Invariant Reynolds Networks Akiyoshi Sannai M. Kawano Wataru Kumagai 41 5 0 15 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 Oct 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 36 38 0 03 Sep 2021
A Bayesian Approach to Invariant Deep Neural Networks Nikolaos Mourdoukoutas Marco Federici G. Pantalos Mark van der Wilk Vincent Fortuin BDL UQCV 21 0 0 20 Jul 2021
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning K. Zentner Ryan C. Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme 14 0 0 24 Jun 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli Bruno Ribeiro OOD 29 11 0 20 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 24 6 0 10 Apr 2021
A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss M. Kasaei Miguel Abreu N. Lau Artur Pereira Luis Paulo Reis 11 11 0 01 Mar 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 11 47 0 22 Feb 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning Zhengyao Jiang Pasquale Minervini Minqi Jiang Tim Rocktaschel AI4CE 19 7 0 08 Feb 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design G. Simm Robert Pinsler Gábor Csányi José Miguel Hernández-Lobato AI4CE 26 64 0 25 Nov 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 308 0 05 Nov 2018