State Representation Learning for Control: An Overview

12 February 2018

Timothée Lesort

Natalia Díaz Rodríguez

Papers citing "State Representation Learning for Control: An Overview"

50 / 158 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation Kevin Alcedo Pedro U. Lima Rachid Alami 74 0 0 26 Mar 2025
APF+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games Yifei Chen Lambert Schomaker 41 0 0 17 Mar 2025
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 63 0 0 11 Mar 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 93 0 0 04 Feb 2025
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach Manav Vora Ilan Shomorony Melkior Ornik 12 0 0 28 Oct 2024
Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors Bang You Huaping Liu SSL 25 5 0 23 Oct 2024
RECON: Reducing Causal Confusion with Human-Placed Markers Robert Ramirez Sanchez Heramb Nemlekar Shahabedin Sagheb Cara M. Nunez Dylan P. Losey CML 56 1 0 20 Sep 2024
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning Xinyang Gu Yen-Jen Wang Xiang Zhu Chengming Shi Yanjiang Guo Yichen Liu Jianyu Chen 36 36 0 26 Aug 2024
IN-Sight: Interactive Navigation through Sight Philipp Schoch Fan Yang Yuntao Ma Stefan Leutenegger Marco Hutter Quentin Leboutet 41 3 0 01 Aug 2024
LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang Yun Qu Yuhang Jiang Jianzhun Shao Chang-rui Liu Wenming Yang Xiangyang Ji 40 7 0 18 Jul 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems Siyu Wang Xiaocong Chen Lina Yao CML 37 0 0 18 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 41 2 0 12 Jul 2024
Maximum Manifold Capacity Representations in State Representation Learning Li Meng Morten Goodwin Anis Yazidi P. Engelstad 52 0 0 22 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 45 3 0 20 May 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 49 6 0 22 Mar 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 29 21 0 17 Jan 2024
Value Explicit Pretraining for Learning Transferable Representations Kiran Lekkala Henghui Bao Sumedh Anand Sontakke Laurent Itti SSL 40 0 0 19 Dec 2023
Learning Interactive Real-World Simulators Mengjiao Yang Yilun Du Kamyar Ghasemipour Jonathan Tompson Leslie Kaelbling Dale Schuurmans Pieter Abbeel LM&Ro PINN 30 183 0 09 Oct 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Moritz Lange Noah Krystiniak Raphael C. Engelhardt Wolfgang Konen Laurenz Wiskott OffRL 21 1 0 06 Oct 2023
Algebras of actions in an agent's representations of the world Alexander Dean Eduardo Alonso Esther Mondragón 35 0 0 02 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 46 13 0 31 Aug 2023
Direct and inverse modeling of soft robots by learning a condensed FEM model Etienne Ménager Tanguy Navez O. Goury Christian Duriez AI4CE 33 6 0 21 Jul 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 35 19 0 12 Jul 2023
BISCUIT: Causal Representation Learning from Binary Interactions Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 44 28 0 16 Jun 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 30 5 0 24 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 44 19 0 22 May 2023
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 37 2 0 17 May 2023
A Multiagent CyberBattleSim for RL Cyber Operation Agents T. Kunz Christian Fisher James La Novara-Gsell Christopher Nguyen Li Li AAML AI4CE 26 13 0 03 Apr 2023
Self-Supervised Multimodal Learning: A Survey Yongshuo Zong Oisin Mac Aodha Timothy M. Hospedales SSL 24 44 0 31 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 37 3 0 07 Mar 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia Sycara 39 15 0 23 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 32 3 0 22 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 53 10 0 03 Feb 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 32 52 0 14 Jan 2023
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities Jianda Chen Sinno Jialin Pan SSL 29 6 0 26 Dec 2022
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 58 2 0 04 Dec 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 30 2 0 15 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 18 1 0 20 Oct 2022
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning Valentin Guillet D. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson 27 1 0 05 Oct 2022
Towards advanced robotic manipulation Francisco Roldan Sanchez Stephen J. Redmond Kevin McGuinness Noel E. O'Connor 30 1 0 19 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandrea 19 1 0 31 Aug 2022
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data N. Botteghi Mengwu Guo C. Brune 17 11 0 27 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 41 11 0 27 Aug 2022
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models Charl Maree C. Omlin 24 0 0 26 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 29 6 0 08 Aug 2022
Back to the Manifold: Recovering from Out-of-Distribution States Alfredo Reichlin Giovanni Luca Marchetti Hang Yin Ali Ghadirzadeh Danica Kragic OffRL 38 11 0 18 Jul 2022
Visual Radial Basis Q-Network Julien Hautot Céline Teulière Nourddine Azzaoui OffRL 19 1 0 14 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 32 52 0 09 Jun 2022