Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

29 September 2015

S. Mohamed

Danilo Jimenez Rezende

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Papers citing "Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning"

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Title
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 97 117 0 11 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Zafeirios Fountas Karl J. Friston 84 20 0 08 Jun 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning Maximilian Seitzer Bernhard Schölkopf Georg Martius CML 109 78 0 07 Jun 2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning Jongwook Choi Archit Sharma Honglak Lee Sergey Levine S. Gu DRL 67 21 0 02 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 58 3 0 01 Jun 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 122 12 0 11 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 131 207 0 08 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 74 27 0 25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 83 26 0 24 Feb 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 142 324 0 25 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 154 95 0 17 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 81 40 0 15 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 79 43 0 14 Dec 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 83 34 0 10 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 114 40 0 27 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Variational Intrinsic Control Revisited Taehwan Kwon 31 12 0 07 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 90 45 0 28 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 91 53 0 03 Sep 2020
Instance-Aware Graph Convolutional Network for Multi-Label Classification Yun Wang Tong Zhang Zhen Cui Chunyan Xu Jian Yang GNN 41 4 0 19 Aug 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 58 8 0 14 Jul 2020
Explore and Explain: Self-supervised Navigation and Recounting Roberto Bigazzi Federico Landi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara EgoV LM&Ro 78 17 0 14 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 73 19 0 09 Jul 2020
End-Effect Exploration Drive for Effective Motor Learning Emmanuel Daucé 17 1 0 29 Jun 2020
AvE: Assistance via Empowerment Yuqing Du Stas Tiomkin Emre Kıcıman Daniel Polani Pieter Abbeel Anca Dragan 113 35 0 26 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 82 109 0 12 Jun 2020
From proprioception to long-horizon planning in novel environments: A hierarchical RL model Nishad Gothoskar Miguel Lázaro-Gredilla Dileep George 33 0 0 11 Jun 2020
Adaptive Reward-Free Exploration E. Kaufmann Pierre Ménard O. D. Domingues Anders Jonsson Edouard Leurent Michal Valko 77 82 0 11 Jun 2020
Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework Wei Shen Yuanying Cai Longbo Huang Jian Li OffRL 37 1 0 11 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 97 11 0 25 May 2020
Simple Sensor Intentions for Exploration Tim Hertweck Martin Riedmiller Michael Bloesch Jost Tobias Springenberg Noah Y. Siegel Markus Wulfmeier Roland Hafner N. Heess 68 10 0 15 May 2020
Progressive growing of self-organized hierarchical representations for exploration Mayalen Etcheverry Pierre-Yves Oudeyer Chris Reinke 52 0 0 13 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 115 412 0 12 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 80 15 0 11 May 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning Archit Sharma Michael Ahn Sergey Levine Vikash Kumar Karol Hausman S. Gu SSL OffRL 54 47 0 27 Apr 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget Anirudh Goyal Yoshua Bengio M. Botvinick Sergey Levine 70 24 0 24 Apr 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 76 70 0 17 Apr 2020
Social Navigation with Human Empowerment driven Deep Reinforcement Learning T. V. D. Heiden Christian Weiss H. V. Hoof 59 13 0 18 Mar 2020
Option Discovery in the Absence of Rewards with Manifold Analysis Amitay Bar Ronen Talmon Ron Meir 69 5 0 12 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 81 72 0 28 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 101 156 0 10 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 92 49 0 07 Feb 2020
Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh Abhishek Gupta Ashwin Reddy Justin Fu Coline Devin Benjamin Eysenbach Sergey Levine 117 35 0 12 Dec 2019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth Daniel Geng Coline Devin Nicholas Rhinehart Chelsea Finn Dinesh Jayaraman Sergey Levine 96 22 0 11 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 82 65 0 09 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 87 30 0 09 Dec 2019
Learning Efficient Representation for Intrinsic Motivation Ruihan Zhao Stas Tiomkin Pieter Abbeel 56 5 0 04 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 280 227 0 29 Nov 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 68 69 0 24 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 70 12 0 19 Nov 2019