Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 1,353 papers shown

Title
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning Ju-Bong Kim Ho-bin Choi Youn-Hee Han 119 4 0 27 Dec 2022
Automated Gadget Discovery in Science Lea M. Trenkwalder Andrea López-Incera Hendrik Poulsen Nautrup Fulvio Flamini Hans J. Briegel 58 3 0 24 Dec 2022
Annotated History of Modern AI and Deep Learning Juergen Schmidhuber MLAU AI4TS AI4CE 82 26 0 21 Dec 2022
Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang Taoxing Pan Qi Zhou Jie Wang OffRL 54 12 0 14 Dec 2022
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning Thomas Schnürer Malte Probst H. Groß 31 0 0 10 Dec 2022
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning Onur Beker Mohammad Mohammadi Amir Zamir 60 3 0 08 Dec 2022
EASpace: Enhanced Action Space for Policy Transfer Zheng Zhang Qingrui Zhang Bo Zhu Xiaohan Wang Tianjiang Hu 86 0 0 07 Dec 2022
Curiosity creates Diversity in Policy Search Paul-Antoine Le Tolguenec Emmanuel Rachelson Yann Besse Dennis G. Wilson 76 2 0 07 Dec 2022
Exploiting Proximity-Aware Tasks for Embodied Social Navigation Enrico Cancelli Tommaso Campari Luciano Serafini Angel X. Chang Lamberto Ballan 102 8 0 01 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 90 3 0 01 Dec 2022
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have Nadia M. Ady R. Shariff J. Günther P. Pilarski 43 0 0 01 Dec 2022
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation Alain Andres Esther Villar-Rodriguez Javier Del Ser SSL 129 7 0 30 Nov 2022
The Effectiveness of World Models for Continual Reinforcement Learning Samuel Kessler M. Ostaszewski Michal Bortkiewicz M. Żarski Maciej Wołczyk Jack Parker-Holder Stephen J. Roberts Piotr Milo's KELM OffRL CLL 85 8 0 29 Nov 2022
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies M. Wolk A. Applebaum Camron Dennler P. Dwyer M. Moskowitz ... N. Nichols Nicole Park Paul Rachwalski Frank Rau A. Webster OffRL AAML 93 18 0 28 Nov 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 67 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 119 25 0 23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 87 49 0 23 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 61 4 0 22 Nov 2022
GitFL: Adaptive Asynchronous Federated Learning using Version Control Ming Hu Zeke Xia Zhihao Yue Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 116 15 0 22 Nov 2022
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation Chia-Wen Kuo Chih-Yao Ma Judy Hoffman Z. Kira 84 10 0 20 Nov 2022
UniMASK: Unified Inference in Sequential Decision Problems Micah Carroll Orr Paradise Jessy Lin Raluca Georgescu Mingfei Sun ... Stephanie Milani Katja Hofmann Matthew J. Hausknecht Anca Dragan Sam Devlin OffRL 109 22 0 20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 104 5 0 18 Nov 2022
Exploring through Random Curiosity with General Value Functions Aditya A. Ramesh Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber 112 10 0 18 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 90 2 0 15 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 83 20 0 15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 111 27 0 14 Nov 2022
Autotelic Reinforcement Learning in Multi-Agent Environments Eleni Nisioti E. Masquil Gautier Hamon Clément Moulin-Frier 67 1 0 11 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 72 9 0 09 Nov 2022
Active Example Selection for In-Context Learning Yiming Zhang Shi Feng Chenhao Tan SILM LRM 114 207 0 08 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 87 23 0 08 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 86 78 0 04 Nov 2022
The Benefits of Model-Based Generalization in Reinforcement Learning K. Young Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 95 13 0 04 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments J. Burns A. Sundaresan Pedro Sequeira Vidyasagar Sadhu 60 0 0 03 Nov 2022
Behavior Prior Representation learning for Offline Reinforcement Learning Hongyu Zang Xin Li Jie Yu Chen Liu Riashat Islam Rémi Tachet des Combes Romain Laroche OffRL OnRL 112 10 0 02 Nov 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam Manan Tomar Alex Lamb Yonathan Efroni Hongyu Zang ... Dipendra Kumar Misra Xin-hui Li H. V. Seijen Rémi Tachet des Combes John Langford OffRL 63 7 0 31 Oct 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 60 0 0 31 Oct 2022
Reward Shaping Using Convolutional Neural Network Hani Sami Hadi Otrok Jamal Bentahar Azzam Mourad Ernesto Damiani 59 4 0 30 Oct 2022
Towards Versatile Embodied Navigation Hongru Wang Wei Liang Luc Van Gool Wenguan Wang LM&Ro 102 25 0 30 Oct 2022
BIMRL: Brain Inspired Meta Reinforcement Learning Seyed Roozbeh Razavi Rohani Saeed Hedayatian M. Baghshah 38 3 0 29 Oct 2022
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives Roben Delos Reyes Kyunghwan Son Jinhwan Jung Wan Ju Kang Yung Yi 64 5 0 29 Oct 2022
Reachability-Aware Laplacian Representation in Reinforcement Learning Kaixin Wang Kuangqi Zhou Jiashi Feng Bryan Hooi Xinchao Wang 79 5 0 24 Oct 2022
Active Exploration for Robotic Manipulation Tim Schneider Boris Belousov Georgia Chalvatzaki Diego Romeres Devesh K. Jha Jan Peters 132 11 0 23 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 112 10 0 23 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 92 23 0 22 Oct 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining Hao Liu Tom Zahavy Volodymyr Mnih Satinder Singh SSL 120 7 0 19 Oct 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity Abhishek Gupta Aldo Pacchiano Yuexiang Zhai Sham Kakade Sergey Levine OffRL 105 67 0 18 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 157 64 0 15 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao Matthieu Lin Yangguang Li Yang Liu Gao Huang 71 13 0 13 Oct 2022
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories Qinqing Zheng Mikael Henaff Brandon Amos Aditya Grover OffRL 95 22 0 12 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 112 41 0 11 Oct 2022