Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 522 papers shown

Title
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 35 43 0 28 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 100 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 41 85 0 15 Sep 2020
Occupancy Anticipation for Efficient Exploration and Navigation Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman EgoV 3DPC 22 162 0 21 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi Ma Jitendra Malik 33 57 0 05 Aug 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 23 72 0 24 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 25 64 0 16 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 32 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 29 17 0 14 Jul 2020
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction Faruk Küçüksubasi Elif Surer 24 2 0 12 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 25 199 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 11 19 0 09 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation Joel Ye Dhruv Batra Erik Wijmans Abhishek Das 3DPC EgoV 17 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 41 159 0 08 Jul 2020
Video Prediction via Example Guidance Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Trevor Darrell AI4TS 35 17 0 03 Jul 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 9 0 26 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 35 117 0 22 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 223 0 18 Jun 2020
Semantic Curiosity for Active Visual Learning Devendra Singh Chaplot Helen Jiang Saurabh Gupta Abhinav Gupta ObjD 16 72 0 16 Jun 2020
Model-based Adversarial Meta-Reinforcement Learning Zichuan Lin G. Thomas Guangwen Yang Tengyu Ma OOD 27 52 0 16 Jun 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning Zachary Wojtowicz Simon DeDeo FAtt 21 29 0 03 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 34 0 02 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 29 24 0 01 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 29 32 0 26 May 2020
Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot Ruslan Salakhutdinov Abhinav Gupta Saurabh Gupta 47 291 0 25 May 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
LEAF: Latent Exploration Along the Frontier Homanga Bharadhwaj Animesh Garg Florian Shkurti 29 1 0 21 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 399 0 12 May 2020
Maximizing Information Gain in Partially Observable Environments via Prediction Reward Yash Satsangi Sungsu Lim Shimon Whiteson F. Oliehoek Martha White 27 15 0 11 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 140 0 30 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 42 8 0 25 Apr 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 20 69 0 17 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation Ilija Radosavovic Xiaolong Wang Lerrel Pinto Jitendra Malik OffRL 19 122 0 07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 22 26 0 06 Apr 2020
Self-Supervised Contextual Bandits in Computer Vision A. Deshmukh Abhimanu Kumar Levi Boyles Denis Xavier Charles Eren Manavoglu Ürün Dogan SSL 31 3 0 18 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 24 169 0 10 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 33 86 0 03 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 31 69 0 28 Feb 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 27 73 0 23 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 15 5 0 21 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 21 4 0 13 Feb 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 35 7 0 07 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 32 49 0 07 Feb 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 37 98 0 07 Jan 2020