Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

Papers citing "Curiosity-driven Exploration by Self-supervised Prediction"

50 / 1,353 papers shown

Title
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces G. Schillaci Antonio Pico Villalpando Verena V. Hafner P. Hanappe David Colliaux T. Wintz 70 27 0 07 Jan 2020
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning Simone Parisi Davide Tateo Maximilian Hensel Carlo DÉramo Jan Peters Joni Pajarinen OffRL 17 10 0 01 Jan 2020
Intrinsic motivations and open-ended learning Gianluca Baldassarre AI4CE 72 8 0 31 Dec 2019
Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory Andreas Windisch Thomas Gallien Christopher Schwarzlmueller 29 4 0 27 Dec 2019
Learning to Navigate Using Mid-Level Visual Priors Alexander Sax Jeffrey O. Zhang Bradley Emi Amir Zamir Silvio Savarese Leonidas Guibas Jitendra Malik SSL 96 59 0 23 Dec 2019
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning R. Li Allan Jabri Trevor Darrell Pulkit Agrawal OffRL 88 112 0 23 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 135 193 0 23 Dec 2019
MALA: Cross-Domain Dialogue Generation with Action Learning Xinting Huang Jianzhong Qi Yu Sun Rui Zhang LRM 159 18 0 18 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs Aniruddha Kembhavi Kiana Ehsani Sarah M Pratt Winson Han Alvaro Herrasti Eric Kolve Dustin Schwenk Roozbeh Mottaghi Ali Farhadi 63 9 0 17 Dec 2019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments Glen Berseth Daniel Geng Coline Devin Nicholas Rhinehart Chelsea Finn Dinesh Jayaraman Sergey Levine 103 22 0 11 Dec 2019
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng Junhyuk Oh Matteo Hessel Zhongwen Xu M. Kroiss H. V. Hasselt David Silver Satinder Singh 103 79 0 11 Dec 2019
Marginalized State Distribution Entropy Regularization in Policy Optimization Riashat Islam Zafarali Ahmed Doina Precup 59 17 0 11 Dec 2019
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods Riashat Islam Raihan Seraj Pierre-Luc Bacon Doina Precup 50 8 0 11 Dec 2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion Bo Zhou Hongsheng Zeng Fan Wang Yunxiang Li Hao Tian 59 18 0 10 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 84 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 from Interventions using Hierarchical Policies for Safe Learning Jing Bi Vikas Dhiman Tianyou Xiao Chenliang Xu OffRL 39 5 0 04 Dec 2019
Learning Efficient Representation for Intrinsic Motivation Ruihan Zhao Stas Tiomkin Pieter Abbeel 97 5 0 04 Dec 2019
Optimal Policies Tend to Seek Power Alexander Matt Turner Logan Smith Rohin Shah Andrew Critch Prasad Tadepalli 79 71 0 03 Dec 2019
Modeling Affect-based Intrinsic Rewards for Exploration and Learning Dean Zadok Daniel J. McDuff Ashish Kapoor 44 2 0 01 Dec 2019
Meta Adaptation using Importance Weighted Demonstrations Kiran Lekkala Sami Abu-El-Haija Laurent Itti 39 2 0 23 Nov 2019
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning Tom Blau Lionel Ott Fabio Ramos 40 8 0 20 Nov 2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks Vibhavari Dasagi Robert Lee Jake Bruce Jurgen Leitner OffRL 56 2 0 20 Nov 2019
MANGA: Method Agnostic Neural-policy Generalization and Adaptation Homanga Bharadhwaj Shoichiro Yamaguchi S. Maeda 48 4 0 19 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 104 8 0 19 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 72 12 0 19 Nov 2019
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks Fengda Zhu Yi Zhu Xiaojun Chang Xiaodan Liang LRM 126 244 0 18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Xinze Wang Siliang Tang Haizhou Shi Leilei Gan Yueting Zhuang William Yang Wang SSL 106 70 0 18 Nov 2019
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance Mingxuan Jing Xiaojian Ma Wenbing Huang F. Sun Chao Yang Bin Fang Huaping Liu 88 60 0 16 Nov 2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient K. Luck Mel Vecerík Simon Stepputtis H. B. Amor Jonathan Scholz 39 11 0 15 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 95 151 0 13 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 66 2 0 11 Nov 2019
MAME : Model-Agnostic Meta-Exploration Swaminathan Gurumurthy Sumit Kumar Katia Sycara 86 15 0 11 Nov 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 130 112 0 04 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 121 32 0 01 Nov 2019
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing Timo Korthals M. Schilling Jurgen Leitner EgoV DRL 16 0 0 01 Nov 2019
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning Haitao Xu B. McCane Lech Szymanski VLM 21 1 0 31 Oct 2019
Policy Continuation with Hindsight Inverse Dynamics Hao Sun Zhizhong Li Xiaotong Liu Dahua Lin Bolei Zhou 86 38 0 30 Oct 2019
Learning Transferable Graph Exploration H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 79 22 0 28 Oct 2019
Comparing Observation and Action Representations for Deep Reinforcement Learning in $μ$ RTS Shengyi Huang Santiago Ontañón 65 8 0 26 Oct 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 45 16 0 23 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 64 80 0 21 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 80 3 0 21 Oct 2019
Autonomous exploration for navigating in non-stationary CMPs Pratik Gajane R. Ortner P. Auer Csaba Szepesvári 50 7 0 18 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 37 2 0 17 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 220 366 0 16 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 127 14 0 16 Oct 2019
Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song Stefano Ermon SSL DRL 85 204 0 14 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 78 18 0 12 Oct 2019