Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 1,354 papers shown

Title
Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games Shengyi Huang Santiago Ontañón 63 10 0 05 Oct 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 74 15 0 05 Oct 2020
Disentangling causal effects for hierarchical reinforcement learning Oriol Corcoll Raul Vicente CML 79 9 0 03 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 87 39 0 02 Oct 2020
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning Haotian Fu Hongyao Tang Jianye Hao Chong Chen Xidong Feng Dong Li Wulong Liu OffRL 83 50 0 29 Sep 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 90 45 0 28 Sep 2020
SEMI: Self-supervised Exploration via Multisensory Incongruity Jianren Wang Ziwen Zhuang Hang Zhao SSL 54 1 0 26 Sep 2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games Subhajit Chaudhury Daiki Kimura Kartik Talamadupula Michiaki Tatsubori Asim Munawar Ryuki Tachibana OffRL 61 10 0 24 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 203 80 0 17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Yue Liu Kim Ji Eun Ding Zhao AAML 102 106 0 16 Sep 2020
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data Guansong Pang Anton Van Den Hengel Chunhua Shen LongBing Cao OffRL 87 91 0 15 Sep 2020
Robust Conversational AI with Grounded Text Generation Jianfeng Gao Baolin Peng Chunyuan Li Jinchao Li Shahin Shayandeh Lars Liden H. Shum 76 21 0 07 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 91 53 0 03 Sep 2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems Vinicius G. Goecks 117 11 0 30 Aug 2020
Predicting Game Difficulty and Churn Without Players Shaghayegh Roohi Asko Relas Jari Takatalo Henri Heiskanen Perttu Hämäläinen 68 24 0 29 Aug 2020
AllenAct: A Framework for Embodied AI Research Luca Weihs Jordi Salvador Klemen Kotar Unnat Jain Kuo-Hao Zeng Roozbeh Mottaghi Aniruddha Kembhavi LM&Ro AI4CE 82 75 0 28 Aug 2020
Identifying Critical States by the Action-Based Variance of Expected Return Izumi Karino Yoshiyuki Ohmura Yasuo Kuniyoshi OffRL 31 2 0 26 Aug 2020
Action-Based Representation Learning for Autonomous Driving Yi Xiao Felipe Codevilla C. Pal Antonio M. López 100 10 0 21 Aug 2020
Occupancy Anticipation for Efficient Exploration and Navigation Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman EgoV 3DPC 102 167 0 21 Aug 2020
Learning Affordance Landscapes for Interaction Exploration in 3D Environments Tushar Nagarajan Kristen Grauman LM&Ro 92 73 0 21 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 255 284 0 15 Aug 2020
REMAX: Relational Representation for Multi-Agent Exploration Heechang Ryu Hayong Shin Jinkyoo Park 68 4 0 12 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 79 12 0 10 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 122 67 0 06 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi-An Ma Jitendra Malik 107 59 0 05 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 66 5 0 05 Aug 2020
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events Chuang Gan Xiaoyu Chen Phillip Isola Antonio Torralba J. Tenenbaum 66 7 0 27 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 73 27 0 27 Jul 2020
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 127 73 0 24 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination Luca Weihs Unnat Jain Iou-Jen Liu Jordi Salvador Svetlana Lazebnik Aniruddha Kembhavi Alex Schwing 100 36 0 23 Jul 2020
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment Haoran Li Qichao Zhang Dongbin Zhao 63 199 0 23 Jul 2020
Modulation of viability signals for self-regulatory control Alvaro Ovalle Simon Lucas 65 2 0 18 Jul 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning Alekh Agarwal Mikael Henaff Sham Kakade Wen Sun OffRL 94 110 0 16 Jul 2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention M. Sahasrabudhe Stergios Christodoulidis R. Salgado S. Michiels S. Loi Fabrice André Nikos Paragios Maria Vakalopoulou 61 64 0 16 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 58 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 78 17 0 14 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 85 66 0 14 Jul 2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction Faruk Küçüksubasi Elif Surer 34 2 0 12 Jul 2020
Representations for Stable Off-Policy Reinforcement Learning Dibya Ghosh Marc G. Bellemare OffRL SSL OOD 94 43 0 10 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 121 205 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 75 19 0 09 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation Joel Ye Dhruv Batra Erik Wijmans Abhishek Das 3DPC EgoV 108 79 0 09 Jul 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 110 163 0 08 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 97 177 0 07 Jul 2020
See, Hear, Explore: Curiosity via Audio-Visual Association Victoria Dean Shubham Tulsiani Abhinav Gupta 120 59 0 07 Jul 2020
Guided Exploration with Proximal Policy Optimization using a Single Demonstration Gabriele Libardi Gianni De Fabritiis 58 24 0 07 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 200 951 0 06 Jul 2020
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient Yufei Wang Tianwei Ni 77 21 0 03 Jul 2020
Video Prediction via Example Guidance Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Trevor Darrell AI4TS 89 17 0 03 Jul 2020
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 70 0 0 03 Jul 2020