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
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 32 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 24 17 0 14 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
AvE: Assistance via Empowerment Yuqing Du Stas Tiomkin Emre Kıcıman Daniel Polani Pieter Abbeel Anca Dragan 38 35 0 26 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 25 108 0 12 Jun 2020
Adaptive Reward-Free Exploration E. Kaufmann Pierre Ménard O. D. Domingues Anders Jonsson Edouard Leurent Michal Valko 30 80 0 11 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 26 7 0 07 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 399 0 12 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 27 15 0 11 May 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 20 69 0 17 Apr 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 26 69 0 28 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 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 32 34 0 12 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 14 30 0 09 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 22 12 0 19 Nov 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 24 137 0 12 Oct 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 42 646 0 17 Sep 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 38 356 0 06 Jul 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 24 25 0 09 Jun 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 36 269 0 08 Mar 2019
Conservative Agency via Attainable Utility Preservation Alexander Matt Turner Dylan Hadfield-Menell Prasad Tadepalli 24 49 0 26 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 27 54 0 20 Feb 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 36 294 0 06 Dec 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 27 178 0 29 Oct 2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning Natasha Jaques Angeliki Lazaridou Edward Hughes Çağlar Gülçehre Pedro A. Ortega D. Strouse Joel Z Leibo Nando de Freitas 31 57 0 19 Oct 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 22 61 0 17 Sep 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 31 19 0 25 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 33 18 0 18 Jun 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John D. Co-Reyes YuXuan Liu Abhishek Gupta Benjamin Eysenbach Pieter Abbeel Sergey Levine SSL BDL AIFin 37 142 0 07 Jun 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 29 44 0 17 Apr 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 23 36 0 20 Mar 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017
Exploration in Feature Space for Reinforcement Learning S. N. Sasikumar 52 4 0 05 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 62 2,776 0 19 Aug 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 24 91 0 18 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 51 2,399 0 15 May 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 34 235 0 06 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 21 425 0 22 Nov 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 68 2,320 0 21 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 29 1,456 0 06 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 25 1,127 0 20 Apr 2016
Information-Theoretic Bounded Rationality Pedro A. Ortega Daniel A. Braun Justin Dyer Kee-Eung Kim Naftali Tishby 19 51 0 21 Dec 2015