Curiosity-driven Exploration by Self-supervised Prediction

15 May 2017

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

50 / 458 papers shown

Title
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 22 3 0 30 Apr 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 37 20 0 25 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics Shikhar Bahl Russell Mendonca Lili Chen Unnat Jain Deepak Pathak 53 164 0 17 Apr 2023
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games Benjamin Towle Ke Zhou SyDa 25 4 0 14 Apr 2023
ENTL: Embodied Navigation Trajectory Learner Klemen Kotar Aaron Walsman Roozbeh Mottaghi 25 6 0 05 Apr 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 29 4 0 24 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xueliang Wang 34 0 0 16 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 38 1 0 03 Mar 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
Failure-aware Policy Learning for Self-assessable Robotics Tasks Kechun Xu Runjian Chen Shuqing Zhao Zizhang Li Hongxiang Yu Ci Chen Yue Wang R. Xiong 20 1 0 25 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 32 3 0 22 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 25 174 0 13 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 36 20 0 13 Feb 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 45 12 0 13 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 0 08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 19 9 0 08 Feb 2023
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Marius Lindegaard Hjalmar Jacob Vinje Odin Severinsen 30 2 0 06 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 31 5 0 04 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 50 0 0 04 Feb 2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System Qingpeng Cai Shuchang Liu Xueliang Wang Tianyou Zuo Wentao Xie Bin Yang Dong Zheng Peng Jiang Kun Gai OffRL 30 41 0 03 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 40 9 0 03 Feb 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng Xiyao Wang Huazhe Xu Furong Huang 48 13 0 02 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z Leibo 26 2 0 02 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 22 3 0 02 Feb 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 25 4 0 29 Jan 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 29 8 0 26 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 44 18 0 05 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks Vincent Herrmann Louis Kirsch Jürgen Schmidhuber AI4CE 46 5 0 29 Dec 2022
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 23 5 0 29 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 26 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 16 0 0 01 Dec 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 24 17 0 28 Nov 2022
Tackling Visual Control via Multi-View Exploration Maximization Mingqi Yuan Xin Jin Bo Li Wenjun Zeng 30 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 29 22 0 23 Nov 2022
Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu Hao Liu Aditya Grover Pieter Abbeel OffRL 50 45 0 23 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 23 4 0 22 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 26 21 0 20 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 48 5 0 18 Nov 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 30 2 0 15 Nov 2022
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong Joni Pajarinen Pulkit Agrawal OnRL 36 24 0 14 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 45 7 0 09 Nov 2022
Active Example Selection for In-Context Learning Yiming Zhang Shi Feng Chenhao Tan SILM LRM 32 187 0 08 Nov 2022
A Theoretical Study on Solving Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL 27 71 0 04 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments J. Burns A. Sundaresan Pedro Sequeira Vidyasagar Sadhu 27 0 0 03 Nov 2022
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 27 0 0 31 Oct 2022
Reward Shaping Using Convolutional Neural Network Hani Sami Hadi Otrok Jamal Bentahar Azzam Mourad Ernesto Damiani 29 3 0 30 Oct 2022