Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 468 papers shown

Title
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 31 2 0 24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 59 9 0 23 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 37 22 0 22 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 62 0 15 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yong-Jin Liu Gao Huang 28 13 0 13 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 35 40 0 11 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 29 16 0 09 Oct 2022
Exploration via Planning for Information about the Optimal Trajectory Viraj Mehta I. Char J. Abbate R. Conlin M. Boyer Stefano Ermon J. Schneider Willie Neiswanger OffRL 27 6 0 06 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation Vittorio Giammarino James Queeney Lucas C. Carstensen Michael Hasselmo I. Paschalidis OffRL 50 4 0 25 Sep 2022
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 77 23 0 21 Sep 2022
Deep Model Predictive Variable Impedance Control Akhil S. Anand Fares J. Abu-Dakka J. Gravdahl 26 11 0 20 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 37 35 0 19 Sep 2022
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng 36 12 0 19 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 88 0 0 09 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandrea 14 1 0 31 Aug 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 38 0 0 24 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations Xufeng Zhao C. Weber Muhammad Burhan Hafez S. Wermter 25 8 0 04 Aug 2022
Human-to-Robot Imitation in the Wild Shikhar Bahl Abhi Gupta Deepak Pathak 30 165 0 19 Jul 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 41 24 0 17 Jul 2022
Robust AI Driving Strategy for Autonomous Vehicles S. Nageshrao Yousaf Rahman V. Ivanovic M. Janković E. Tseng M. Hafner Dimitar Filev 39 4 0 16 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 29 11 0 12 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition Giovanni Luca Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 35 14 0 07 Jul 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 28 18 0 16 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni Dylan J. Foster Dipendra Kumar Misra A. Krishnamurthy John Langford OffRL 31 25 0 09 Jun 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning Xinran Liang Katherine Shu Kimin Lee Pieter Abbeel 21 58 0 24 May 2022
Nuclear Norm Maximization Based Curiosity-Driven Learning Chao Chen Zijian Gao Kele Xu Sen Yang Yiying Li Bo Ding Dawei Feng Huaimin Wang 158 5 0 21 May 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes Zheng Fang Biao Zhao Guizhong Liu 16 2 0 19 May 2022
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies Mohamed Alami Chehboune F. Llorente Rim Kaddah Luca Martino Jesse Read 21 0 0 19 May 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation Zachary Seymour Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 30 8 0 17 May 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 22 8 0 14 May 2022
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters Xue Bin Peng Yunrong Guo L. Halper Sergey Levine Sanja Fidler 28 15 0 04 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 32 12 0 02 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 26 324 0 02 May 2022
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers Micah Carroll Jessy Lin Orr Paradise Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 40 10 0 28 Apr 2022
Discovering Intrinsic Reward with Contrastive Random Walk Zixuan Pan Zihao Wei Yidong Huang Aditya Gupta 32 0 0 23 Apr 2022
Embodied Navigation at the Art Gallery Roberto Bigazzi Federico Landi S. Cascianelli Marcella Cornia Lorenzo Baraldi Rita Cucchiara LM&Ro 21 3 0 19 Apr 2022
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets Yunfei Li Tao Kong Lei Li Yi Wu 45 4 0 12 Apr 2022
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 39 67 0 08 Apr 2022
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale Ram Ramrakhya Eric Undersander Dhruv Batra Abhishek Das LM&Ro 35 109 0 07 Apr 2022
Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments Yafei Hu Junyi Geng Chen Wang John Keller Sebastian Scherer OffRL 28 15 0 07 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 35 186 0 04 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning Q. Sun Jinbao Fang Weixing Zheng Yang Tang 19 27 0 26 Mar 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 118 0 25 Mar 2022
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation S. Gadre Mitchell Wortsman Gabriel Ilharco Ludwig Schmidt Shuran Song CLIP LM&Ro 44 142 0 20 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation Bing-Quan Liu Sahisnu Mazumder Eric Robertson Scott Grigsby CLL AI4CE 38 21 0 17 Mar 2022
Stubborn: A Strong Baseline for Indoor Object Navigation Haokuan Luo Albert Yue Zhang-Wei Hong Pulkit Agrawal 24 41 0 14 Mar 2022