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Episodic Curiosity through Reachability

4 October 2018

Marc Pollefeys

Papers citing "Episodic Curiosity through Reachability"

48 / 98 papers shown

Title
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha Wenye Ma Lei Yuan Helen Zhou Ji Liu 137 44 0 20 Jan 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation Lina Mezghani Sainbayar Sukhbaatar Thibaut Lavril Oleksandr Maksymets Dhruv Batra Piotr Bojanowski Alahari Karteek 75 70 0 13 Jan 2021
Geometric Entropic Exploration Z. Guo M. G. Azar Alaa Saade S. Thakoor Bilal Piot Bernardo Avila-Pires Michal Valko Thomas Mesnard Tor Lattimore Rémi Munos 89 32 0 06 Jan 2021
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin Matthieu Geist 169 20 0 22 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 83 74 0 25 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 60 16 0 16 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning Jun Jin D. Graves Cameron Haigh Jun Luo Martin Jägersand SSL OffRL 58 6 0 11 Nov 2020
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases Yuncheng Hua Yuan-Fang Li Guilin Qi Wei Wu Jingyao Zhang Daiqing Qi 74 28 0 29 Oct 2020
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning Chenjia Bai Peng Liu Kaiyu Liu Zhaoran Wang Yingnan Zhao Lingxiao Wang SSL 60 18 0 17 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 97 8 0 15 Oct 2020
Latent World Models For Intrinsically Motivated Exploration Aleksandr Ermolov N. Sebe 120 25 0 05 Oct 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 90 45 0 28 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
Occupancy Anticipation for Efficient Exploration and Navigation Santhosh Kumar Ramakrishnan Ziad Al-Halah Kristen Grauman EgoV 3DPC 97 167 0 21 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 54 5 0 05 Aug 2020
Object Goal Navigation using Goal-Oriented Semantic Exploration Devendra Singh Chaplot Dhiraj Gandhi Abhinav Gupta Ruslan Salakhutdinov 128 524 0 01 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 101 127 0 22 Jun 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 103 87 0 20 Jun 2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation Tao He Lianli Gao Jingkuan Song Jianfei Cai Yuan-Fang Li 80 31 0 13 Jun 2020
Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot Ruslan Salakhutdinov Abhinav Gupta Saurabh Gupta 126 297 0 25 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 115 412 0 12 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 84 27 0 07 May 2020
Learning to Explore using Active Neural SLAM Devendra Singh Chaplot Dhiraj Gandhi Saurabh Gupta Abhinav Gupta Ruslan Salakhutdinov 84 516 0 10 Apr 2020
Learning to Visually Navigate in Photorealistic Environments Without any Supervision Lina Mezghani Sainbayar Sukhbaatar Arthur Szlam Armand Joulin Piotr Bojanowski SSL 37 10 0 10 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 109 521 0 30 Mar 2020
Exploring Unknown States with Action Balance Yan Song Yingfeng Chen Yujing Hu Changjie Fan 24 5 0 10 Mar 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 81 300 0 14 Feb 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 93 100 0 07 Jan 2020
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 125 112 0 04 Nov 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
Scaling Local Control to Large-Scale Topological Navigation Xiangyun Meng Nathan D. Ratliff Yu Xiang Dieter Fox 164 61 0 26 Sep 2019
Bayesian Relational Memory for Semantic Visual Navigation Yi Wu Yuxin Wu Aviv Tamar Stuart J. Russell Georgia Gkioxari Yuandong Tian BDL 128 105 0 10 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 112 144 0 19 Aug 2019
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning Srinivas Venkattaramanujam Eric Crawford T. Doan Doina Precup OffRL SSL 65 24 0 05 Jul 2019
Learning the Arrow of Time Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio 61 5 0 02 Jul 2019
Reward Prediction Error as an Exploration Objective in Deep RL Riley Simmons-Edler Ben Eisner Daniel Yang Anthony Bisulco E. Mitchell Sebastian Seung Daniel D. Lee 64 5 0 19 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 98 293 0 12 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 146 122 0 27 May 2019
A Short Survey On Memory Based Reinforcement Learning Dhruv Ramani OffRL 71 17 0 14 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 164 1,164 0 10 Apr 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration Jingwei Zhang Niklas Wetzel Nicolai Dorka Joschka Boedecker Wolfram Burgard 65 26 0 18 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 132 277 0 08 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research Joel Z Leibo Edward Hughes Marc Lanctot T. Graepel 94 110 0 02 Mar 2019
Parenting: Safe Reinforcement Learning from Human Input Christopher Frye Ilya Feige 76 7 0 18 Feb 2019
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance Ethan C. Jackson Mark Daley 50 20 0 08 Feb 2019
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley 123 250 0 07 Jan 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 98 305 0 06 Dec 2018
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 173 1,279 0 30 Nov 2018