Variational Intrinsic Control

22 November 2016

Karol Gregor

Danilo Jimenez Rezende

Papers citing "Variational Intrinsic Control"

50 / 311 papers shown

Title
AvE: Assistance via Empowerment Yuqing Du Stas Tiomkin Emre Kıcıman Daniel Polani Pieter Abbeel Anca Dragan 213 42 0 26 Jun 2020
ELSIM: End-to-end learning of reusable skills through intrinsic motivation A. Aubret L. Matignon S. Hassas 90 5 0 23 Jun 2020
From proprioception to long-horizon planning in novel environments: A hierarchical RL model Nishad Gothoskar Miguel Lázaro-Gredilla Dileep George 108 0 0 11 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 151 9 0 07 Jun 2020
Simple Sensor Intentions for Exploration Tim Hertweck Martin Riedmiller Michael Bloesch Jost Tobias Springenberg Noah Y. Siegel Markus Wulfmeier Agrim Gupta N. Heess 150 10 0 15 May 2020
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetInternational Conference on Learning Representations (ICLR), 2020 Anirudh Goyal Yoshua Bengio M. Botvinick Sergey Levine 105 24 0 24 Apr 2020
Agent57: Outperforming the Atari Human BenchmarkInternational Conference on Machine Learning (ICML), 2020 Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 261 563 0 30 Mar 2020
Social Navigation with Human Empowerment driven Deep Reinforcement Learning T. V. D. Heiden Christian Weiss H. V. Hoof 251 15 0 18 Mar 2020
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated EnvironmentsInternational Conference on Learning Representations (ICLR), 2020 Roberta Raileanu Tim Rocktaschel 219 192 0 27 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering SkillsInternational Conference on Machine Learning (ICML), 2020 Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 430 166 0 10 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 150 4 0 05 Feb 2020
Unsupervised Curricula for Visual Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019 Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 156 66 0 09 Dec 2019
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill DiscoveryAdaptive Agents and Multi-Agent Systems (AAMAS), 2019 Jiachen Yang Igor Borovikov H. Zha 222 93 0 07 Dec 2019
Hindsight Credit AssignmentNeural Information Processing Systems (NeurIPS), 2019 Anna Harutyunyan Will Dabney Thomas Mesnard M. G. Azar Bilal Piot ... H. V. Hasselt Greg Wayne Satinder Singh Doina Precup Rémi Munos 176 84 0 05 Dec 2019
Learning Efficient Representation for Intrinsic Motivation Ruihan Zhao Stas Tiomkin Pieter Abbeel 193 5 0 04 Dec 2019
Disentangled Cumulants Help Successor Representations Transfer to New Tasks Christopher Grimm I. Higgins André Barreto Denis Teplyashin Markus Wulfmeier Tim Hertweck R. Hadsell Satinder Singh 132 14 0 25 Nov 2019
Implicit Generative Modeling for Efficient ExplorationInternational Conference on Machine Learning (ICML), 2019 Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 330 15 0 19 Nov 2019
Maximum Entropy Diverse Exploration: Disentangling Maximum Entropy Reinforcement Learning Andrew Cohen Lei Yu Xingye Qiao Xiangrong Tong 137 4 0 03 Nov 2019
MAVEN: Multi-Agent Variational ExplorationNeural Information Processing Systems (NeurIPS), 2019 Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 357 403 0 16 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 245 57 0 27 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 355 157 0 19 Aug 2019
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL Nirbhay Modhe Prithvijit Chattopadhyay Mohit Sharma Abhishek Das Devi Parikh Dhruv Batra Ramakrishna Vedantam 256 1 0 24 Jul 2019
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards Yijie Guo Jongwook Choi Marcin Moczulski Shengyu Feng Samy Bengio Mohammad Norouzi Honglak Lee 159 10 0 24 Jul 2019
Neural Embedding for Physical Manipulations Lingzhi Zhang Andong Cao Rui Li Jianbo Shi DRL 88 0 0 13 Jul 2019
Dynamics-Aware Unsupervised Discovery of SkillsInternational Conference on Learning Representations (ICLR), 2019 Archit Sharma S. Gu Sergey Levine Vikash Kumar Karol Hausman 290 450 0 02 Jul 2019
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Fengda Zhu Xiaojun Chang Runhao Zeng Zhuliang Yu CLL 135 3 0 21 Jun 2019
Fast Task Inference with Variational Intrinsic Successor FeaturesInternational Conference on Learning Representations (ICLR), 2019 Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 243 171 0 12 Jun 2019
Self-Supervised Exploration via DisagreementInternational Conference on Machine Learning (ICML), 2019 Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 191 422 0 10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay John Lanier Alexander Shmakov Pierre Baldi OffRL 145 26 0 09 Jun 2019
The Journey is the Reward: Unsupervised Learning of Influential Trajectories Jonathan Binas Sherjil Ozair Yoshua Bengio SSL 43 4 0 22 May 2019
Learning Novel Policies For TasksInternational Conference on Machine Learning (ICML), 2019 Yunbo Zhang Wenhao Yu Greg Turk 102 35 0 13 May 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic RewardsAAAI Conference on Artificial Intelligence (AAAI), 2019 Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Shangtong Zhang Andrzej Wojcicki Mai Xu LRM 314 16 0 12 May 2019
Routing Networks and the Challenges of Modular and Compositional Computation Clemens Rosenbaum Ignacio Cases Matthew D Riemer Tim Klinger 192 91 0 29 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 339 26 0 01 Apr 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 145 45 0 18 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 437 296 0 08 Mar 2019
The Termination CriticInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Anna Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 149 53 0 26 Feb 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 233 27 0 28 Jan 2019
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization Takayuki Osa Voot Tangkaratt Masashi Sugiyama OffRL 196 30 0 05 Jan 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 344 1,388 0 30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 197 187 0 28 Nov 2018
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning Sainbayar Sukhbaatar Emily L. Denton Arthur Szlam Rob Fergus SSL 180 45 0 22 Nov 2018
Reward learning from human preferences and demonstrations in AtariNeural Information Processing Systems (NeurIPS), 2018 Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 317 439 0 15 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Mai Xu 139 19 0 10 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 259 1,507 0 30 Oct 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 165 743 0 13 Aug 2018
Variational Option Discovery Algorithms Joshua Achiam Harrison Edwards Dario Amodei Pieter Abbeel DRL 206 193 0 26 Jul 2018
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop Martin Biehl Christian Guckelsberger Christoph Salge Simón C. Smith Daniel Polani LRM AI4CE 223 28 0 21 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 101 24 0 18 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 251 109 0 12 Jun 2018