Self-supervised Reinforcement Learning with Independently Controllable Subgoals

9 September 2021

Papers citing "Self-supervised Reinforcement Learning with Independently Controllable Subgoals"

37 / 37 papers shown

Title
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 47 76 0 07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 54 11 0 06 Jun 2021
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation Yizhe Wu Oiwi Parker Jones Martin Engelcke Ingmar Posner 3DPC 37 20 0 31 May 2021
Mutual Information State Intrinsic Control Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 28 25 0 15 Mar 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 87 94 0 17 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 46 42 0 29 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 41 14 0 13 Nov 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 93 104 0 01 Jul 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 212 844 0 26 Jun 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 90 131 0 18 Jun 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 49 121 0 21 Feb 2020
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 67 283 0 27 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 69 188 0 28 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 60 68 0 23 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 75 132 0 06 Oct 2019
Hierarchical Policy Learning is Sensitive to Goal Space Design Zach Dwiel Madhavun Candadai Mariano Phielipp Arjun K. Bansal 48 15 0 04 May 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 69 276 0 08 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 86 403 0 05 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 98 509 0 01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation Christopher P. Burgess Loic Matthey Nicholas Watters Rishabh Kabra I. Higgins M. Botvinick Alexander Lerchner OCL 81 526 0 22 Jan 2019
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 69 543 0 12 Jul 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 94 807 0 21 May 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré Sébastien Forestier Olivier Sigaud Pierre-Yves Oudeyer SSL DRL 46 95 0 02 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 171 291 0 28 Feb 2018
Disentangling the independently controllable factors of variation by interacting with the world Valentin Thomas Emmanuel Bengio W. Fedus Jules Pondard Philippe Beaudoin Hugo Larochelle Joelle Pineau Doina Precup Yoshua Bengio DRL CoGe CML 52 61 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 281 8,313 0 04 Jan 2018
Deep Object-Centric Representations for Generalizable Robot Learning Coline Devin Pieter Abbeel Trevor Darrell Sergey Levine SSL OCL 84 106 0 14 Aug 2017
Neural Expectation Maximization Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 114 286 0 11 Aug 2017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 69 188 0 07 Aug 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 239 2,322 0 05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 102 513 0 17 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 78 361 0 10 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 904 0 03 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 502 1,407 0 01 Dec 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 305 3,279 0 17 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 456 12,680 0 11 Dec 2014
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots Adrien Baranes Pierre-Yves Oudeyer 137 440 0 21 Jan 2013