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 / 69 papers shown

Title
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 60 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
RECON: Reducing Causal Confusion with Human-Placed Markers Robert Ramirez Sanchez Heramb Nemlekar Shahabedin Sagheb Cara M. Nunez Dylan P. Losey CML 54 1 0 20 Sep 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 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 22 20 0 17 Jan 2024
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 30 19 0 12 Jul 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
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 P. 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
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels Kangyu Weng Aohua Cheng Ziyang Zhang Pei Sun Yang Tian 53 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
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 14 1 0 31 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
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
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach J. Pan Jingwei Huang G. Cheng Yong Zeng AI4CE 22 40 0 19 Mar 2022
Multiscale Sensor Fusion and Continuous Control with Neural CDEs Sumeet Singh Francis McCann Ramirez Jacob Varley Andy Zeng Vikas Sindhwani 49 3 0 16 Mar 2022
Excavation Reinforcement Learning Using Geometric Representation Qingkai Lu Yifan Zhu Liangjun Zhang 16 17 0 27 Jan 2022
Adaptation through prediction: multisensory active inference torque control Cristian Meo Giovanni Franzese Corrado Pezzato Max Spahn Pablo Lanillos 28 11 0 13 Dec 2021
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 45 34 0 07 Dec 2021
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning Shitao Xiao V. Subramanian 29 9 0 25 Oct 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 54 32 0 12 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 34 7 0 07 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 24 2 0 02 Oct 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 24 3 0 04 Jul 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 26 38 0 14 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 29 41 0 11 Jun 2021
Explainable Autonomous Robots: A Survey and Perspective Tatsuya Sakai Takayuki Nagai 20 67 0 06 May 2021
Cloth Manipulation Planning on Basis of Mesh Representations with Incomplete Domain Knowledge and Voxel-to-Mesh Estimation S. Arnold Daisuke Tanaka Kimitoshi Yamazaki 22 4 0 15 Mar 2021
Multimodal VAE Active Inference Controller Cristian Meo Pablo Lanillos 23 24 0 07 Mar 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 23 39 0 16 Feb 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 38 30 0 06 Jan 2021
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors Michelle A. Lee Matthew Tan Yuke Zhu Jeannette Bohg 49 25 0 01 Dec 2020
Sensorimotor representation learning for an "active self" in robots: A model survey Phuong D. H. Nguyen Yasmin Kim Georgie E. Kayhan Manfred Eppe Verena V. Hafner S. Wermter 19 16 0 25 Nov 2020
The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC Placement Based on Availability and Energy Consumption Guto Leoni Santos Theo Lynn J. Kelner P. Endo 9 0 0 12 Oct 2020
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents Nicola Milano S. Nolfi 11 0 0 15 Sep 2020
Low Dimensional State Representation Learning with Reward-shaped Priors N. Botteghi Ruben Obbink D. Geijs M. Poel B. Sirmaçek C. Brune A. Mersha Stefano Stramigioli SSL OffRL 9 4 0 29 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 41 310 0 12 Jul 2020
Modelling Agent Policies with Interpretable Imitation Learning Tom Bewley J. Lawry Arthur G. Richards 14 8 0 19 Jun 2020
Should artificial agents ask for help in human-robot collaborative problem-solving? Adrien Bennetot V. Charisi Natalia Díaz Rodríguez 21 8 0 25 May 2020
Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning Michelle A. Lee Carlos Florensa Jonathan Tremblay Nathan D. Ratliff Animesh Garg Fabio Ramos Dieter Fox 23 60 0 21 May 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 15 1 0 07 May 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 27 18 0 03 Mar 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 41 156 0 10 Dec 2019