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
Modelling Agent Policies with Interpretable Imitation Learning Tom Bewley J. Lawry Arthur G. Richards 22 8 0 19 Jun 2020
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control Rika Antonova Maksim Maydanskiy Danica Kragic Sam Devlin Katja Hofmann 24 8 0 15 Jun 2020
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces Miguel Jaques Michael G. Burke Timothy M. Hospedales DRL 12 20 0 02 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
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 27 19 0 13 May 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 25 1 0 07 May 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 22 38 0 15 Apr 2020
Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning Weichao Mao Kaipeng Zhang Erik Miehling Tamer Basar 14 23 0 02 Apr 2020
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation M. Lippi Petra Poklukar Michael C. Welle Anastasiia Varava Hang Yin Alessandro Marino Danica Kragic 38 56 0 19 Mar 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
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 27 40 0 03 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu Tim Rocktaschel 10 170 0 27 Feb 2020
Learning State Abstractions for Transfer in Continuous Control Kavosh Asadi David Abel Michael L. Littman OffRL 25 7 0 08 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 171 1,642 0 02 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 21 11 0 31 Jan 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming H. Briegel R. Renner AI4CE NAI 19 25 0 02 Jan 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
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 39 10 0 12 Nov 2019
MERL: Multi-Head Reinforcement Learning Yannis Flet-Berliac Philippe Preux OffRL 16 13 0 26 Sep 2019
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations Rogerio Bonatti Ratnesh Madaan Vibhav Vineet Sebastian Scherer Ashish Kapoor SSL 23 39 0 16 Sep 2019
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 18 8 0 15 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 26 143 0 19 Aug 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
Graph-Structured Visual Imitation Maximilian Sieb Xian Zhou Audrey Huang Oliver Kroemer Katerina Fragkiadaki 25 65 0 11 Jul 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova Akshara Rai Tianyu Li Danica Kragic DRL 24 17 0 10 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 24 248 0 29 Jun 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 27 2 0 27 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer A. Mufti Svetlin Penkov S. Ramamoorthy AI4CE 14 2 0 17 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 28 44 0 11 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 134 0 07 Jun 2019
Continual Reinforcement Learning in 3D Non-stationary Environments Vincenzo Lomonaco Karan Desai Eugenio Culurciello Davide Maltoni OffRL 23 41 0 24 May 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 25 41 0 23 May 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 24 13 0 17 Apr 2019
Affordance Learning for End-to-End Visuomotor Robot Control Aleksi Hämäläinen Karol Arndt Ali Ghadirzadeh Ville Kyrki 38 48 0 10 Mar 2019
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration Jun Jin Masood Dehghan Laura Petrich S. Lu Martin Jägersand 13 2 0 02 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 25 16 0 25 Feb 2019
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 26 42 0 14 Feb 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 10 56 0 24 Jan 2019
Learning State Representations in Complex Systems with Multimodal Data P. Solovev Vladimir Aliev Pavel Ostyakov Gleb Sterkin Elizaveta Logacheva Stepan Troeshestov Roman Suvorov Anton Mashikhin Oleg Khomenko Sergey I. Nikolenko SSL AI4TS 11 3 0 27 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 35 368 0 24 Oct 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 32 19 0 09 Oct 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat OffRL 19 35 0 25 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi BDL 17 26 0 05 Jul 2018