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
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning Andrew Cohen Lei Yu Xingye Qiao Xiangrong Tong 41 2 0 03 Nov 2019
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations Neha Das Maximilian Karl Philip Becker-Ehmck Patrick van der Smagt 19 2 0 02 Nov 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 92 139 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 72 658 0 17 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 112 144 0 19 Aug 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 110 29 0 26 Jul 2019
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies Mirco Mutti Marcello Restelli 41 25 0 10 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 97 103 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Dynamics-Aware Unsupervised Discovery of Skills Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 130 414 0 02 Jul 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 100 152 0 12 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Stephen Marcus McAleer Pierre Baldi OffRL 78 25 0 09 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 199 2,385 0 06 Jun 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao Xudong Sun Volker Tresp 67 83 0 21 May 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 87 15 0 12 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 132 277 0 08 Mar 2019
Conservative Agency via Attainable Utility Preservation Alexander Matt Turner Dylan Hadfield-Menell Prasad Tadepalli 120 49 0 26 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation Rui Zhao Volker Tresp 134 55 0 20 Feb 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 78 144 0 04 Feb 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 100 53 0 26 Dec 2018
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 98 305 0 06 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning Sainbayar Sukhbaatar Emily L. Denton Arthur Szlam Rob Fergus SSL 92 43 0 22 Nov 2018
The Barbados 2018 List of Open Issues in Continual Learning Tom Schaul H. V. Hasselt Joseph Modayil Martha White Adam White Pierre-Luc Bacon J. Harb Shibl Mourad Marc G. Bellemare Doina Precup LM&Ro 3DV 69 10 0 16 Nov 2018
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 126 398 0 15 Nov 2018
Model-Based Active Exploration Pranav Shyam Wojciech Ja'skowski Faustino J. Gomez 101 179 0 29 Oct 2018
Adversarial Imitation via Variational Inverse Reinforcement Learning A. H. Qureshi Byron Boots Michael C. Yip 75 61 0 17 Sep 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 93 707 0 13 Aug 2018
Variational Bayesian Reinforcement Learning with Regret Bounds Brendan O'Donoghue 81 41 0 25 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 72 19 0 25 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 76 20 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 82 146 0 07 Jun 2018
Penalizing side effects using stepwise relative reachability Victoria Krakovna Laurent Orseau Ramana Kumar Miljan Martic Shane Legg 98 55 0 04 Jun 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 53 52 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 100 44 0 17 Apr 2018
Intrinsically motivated reinforcement learning for human-robot interaction in the real-world A. H. Qureshi Yutaka Nakamura Yuichiro Yoshikawa H. Ishiguro 39 59 0 14 Apr 2018
Artificial Intelligence and its Role in Near Future Jahanzaib Shabbir T. Anwer 36 144 0 01 Apr 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 90 36 0 20 Mar 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 190 1,089 0 16 Feb 2018
Curiosity-driven reinforcement learning with homeostatic regulation Ildefons Magrans de Abril Ryota Kanai 65 28 0 23 Jan 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning Baolin Peng Xiujun Li Jianfeng Gao Jingjing Liu Yun-Nung Chen Kam-Fai Wong 88 65 0 31 Oct 2017
Unsupervised Real-Time Control through Variational Empowerment Maximilian Karl Maximilian Soelch Philip Becker-Ehmck Djalel Benbouzid Patrick van der Smagt Justin Bayer 78 55 0 13 Oct 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 143 2,830 0 19 Aug 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 87 92 0 18 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 180 2,456 0 15 May 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 80 141 0 07 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 80 238 0 06 Mar 2017
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 90 430 0 22 Nov 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 312 2,407 0 21 Jun 2016