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
A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models Jiaxin Zhang Sirui Bi Guannan Zhang 65 9 0 14 Mar 2021
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation Karol Arndt Oliver Struckmeier Ville Kyrki 46 1 0 12 Mar 2021
Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control Beren Millidge A. Seth Christopher L. Buckley 129 12 0 11 Mar 2021
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance Jeremy Roghair Kyungtae Ko Amir Ehsan Niaraki Asli Ali Jannesari 74 33 0 11 Mar 2021
Hard Attention Control By Mutual Information Maximization Himanshu Sahni Charles Isbell 33 0 0 10 Mar 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 86 17 0 10 Mar 2021
ELLA: Exploration through Learned Language Abstraction Suvir Mirchandani Siddharth Karamcheti Dorsa Sadigh LLMAG 77 58 0 10 Mar 2021
A Survey of Embodied AI: From Simulators to Research Tasks Jiafei Duan Samson Yu Tangyao Li Huaiyu Zhu Cheston Tan LM&Ro 134 296 0 08 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 121 56 0 08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments F. Memarian Wonjoon Goo Rudolf Lioutikov S. Niekum Ufuk Topcu OffRL 110 49 0 08 Mar 2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks Daiki Kimura Subhajit Chaudhury Akifumi Wachi Ryosuke Kohita Asim Munawar Michiaki Tatsubori Alexander G. Gray 46 11 0 03 Mar 2021
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach Yves-Laurent Kom Samo 49 8 0 25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 85 26 0 24 Feb 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 96 226 0 22 Feb 2021
Improved Learning of Robot Manipulation Tasks via Tactile Intrinsic Motivation Nikola Vulin Sammy Christen Stefan Stevšić Otmar Hilliges 53 19 0 22 Feb 2021
Delayed Rewards Calibration via Reward Empirical Sufficiency Yixuan Liu Hu Wang Xiaowei Wang Xiaoyue Sun Liuyue Jiang Minhui Xue 85 0 0 21 Feb 2021
Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment Mónika Farsang Luca Szegletes 40 1 0 20 Feb 2021
State Entropy Maximization with Random Encoders for Efficient Exploration Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 112 129 0 18 Feb 2021
Domain Adversarial Reinforcement Learning Bonnie Li Vincent Franccois-Lavet T. Doan Joelle Pineau OOD 43 22 0 14 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 183 81 0 14 Feb 2021
Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang Ofir Nachum SSL OffRL 107 119 0 11 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 144 42 0 10 Feb 2021
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments Sung-Kyun Kim Amanda Bouman G. Salhotra David D. Fan K. Otsu J. W. Burdick Ali-akbar Agha-mohammadi 69 49 0 10 Feb 2021
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation Augustine N. Mavor-Parker K. Young Caswell Barry Lewis D. Griffin 95 22 0 08 Feb 2021
Adversarially Guided Actor-Critic Yannis Flet-Berliac Johan Ferret Olivier Pietquin Philippe Preux Matthieu Geist 77 73 0 08 Feb 2021
Model-Augmented Q-learning Youngmin Oh Jinwoo Shin Eunho Yang Sung Ju Hwang OffRL 47 1 0 07 Feb 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching Ofir Nabati Tom Zahavy Shie Mannor 81 18 0 07 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 162 538 0 04 Feb 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised Viviane Clay Peter König G. Pipa Kai-Uwe Kühnberger 60 1 0 03 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 89 16 0 23 Jan 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha Wenye Ma Lei Yuan Helen Zhou Ji Liu 140 44 0 20 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 114 5 0 14 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 150 79 0 13 Jan 2021
Action Priors for Large Action Spaces in Robotics Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 87 14 0 11 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning E. Abolfathi Jun Luo Peyman Yadmellat K. Rezaee OnRL 62 3 0 07 Jan 2021
Learn Dynamic-Aware State Embedding for Transfer Learning Kaige Yang 59 1 0 06 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 97 32 0 06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 160 0 06 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 117 3 0 04 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control Liwen Zhu Peixi Peng Zongqing Lu Xiangqian Wang Yonghong Tian 68 21 0 04 Jan 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric 48 13 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 150 324 0 25 Dec 2020
Augmenting Policy Learning with Routines Discovered from a Single Demonstration Zelin Zhao Chuang Gan Jiajun Wu Xiaoxiao Guo J. Tenenbaum OffRL 104 5 0 23 Dec 2020
Autonomous sPOMDP Environment Modeling With Partial Model Exploitation Andrew Wilhelm Aaron Wilhelm Garrett Fosdick 10 0 0 22 Dec 2020
Self-Imitation Advantage Learning Johan Ferret Olivier Pietquin Matthieu Geist 182 20 0 22 Dec 2020
Evaluating Agents without Rewards Brendon Matusch Jimmy Ba Jimmy Ba Danijar Hafner 77 12 0 21 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 108 10 0 18 Dec 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey Cédric Colas Tristan Karch Olivier Sigaud Pierre-Yves Oudeyer 162 95 0 17 Dec 2020
Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning Luca Thiede Mario Krenn AkshatKumar Nigam Alán Aspuru-Guzik 84 31 0 17 Dec 2020
Embodied Visual Active Learning for Semantic Segmentation David Nilsson Aleksis Pirinen Erik Gartner C. Sminchisescu 86 35 0 17 Dec 2020