Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 458 papers shown

Title
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 397 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 43 139 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 Yuqing Yang Y. Gao AI4CE 37 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 19 121 0 07 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 19 167 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 26 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 A. 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 19 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 31 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 32 98 0 07 Jan 2020
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 20 27 0 07 Jan 2020
Deep reinforcement learning for complex evaluation of one-loop diagrams in quantum field theory Andreas Windisch Thomas Gallien Christopher Schwarzlmueller 11 4 0 27 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 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 16 9 0 17 Dec 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 22 12 0 19 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Qing Guo Siliang Tang Haizhou Shi Fei Wu Yueting Zhuang William Yang Wang SSL 46 68 0 18 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning Dipendra Kumar Misra Mikael Henaff A. Krishnamurthy John Langford 21 151 0 13 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 22 31 0 01 Nov 2019
Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning Patrik Reizinger Marton Szemenyei 31 16 0 23 Oct 2019
Dealing with Sparse Rewards in Reinforcement Learning J. Hare 21 77 0 21 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 146 355 0 16 Oct 2019
Influence-Based Multi-Agent Exploration Tonghan Wang Jianhao Wang Yi Wu Chongjie Zhang 21 137 0 12 Oct 2019
Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning Ruijian Han Kani Chen Chunxi Tan 9 14 0 12 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 18 191 0 11 Sep 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 24 24 0 13 Aug 2019
Multi-task Self-Supervised Learning for Human Activity Detection Aaqib Saeed T. Ozcelebi J. Lukkien SSL 21 269 0 27 Jul 2019
Efficient Novelty-Driven Neural Architecture Search Miao Zhang Huiqi Li Shirui Pan Taoping Liu Steven W. Su 23 1 0 22 Jul 2019
Graph Policy Gradients for Large Scale Robot Control Arbaaz Khan Ekaterina V. Tolstaya Alejandro Ribeiro Vijay Kumar 10 93 0 08 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 14 5 0 02 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 27 2 0 27 Jun 2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman 20 40 0 27 Jun 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 11 193 0 19 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Learning-Driven Exploration for Reinforcement Learning Muhammad Usama D. Chang 21 10 0 17 Jun 2019
Epistemic Risk-Sensitive Reinforcement Learning Hannes Eriksson Christos Dimitrakakis 19 29 0 14 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 35 375 0 10 Jun 2019
Adaptive Symmetric Reward Noising for Reinforcement Learning R. Vivanti Talya D. Sohlberg-Baris Shlomo Cohen Orna Cohen AAML 11 1 0 24 May 2019