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
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning Yuanying Cai Wei Shen Wei Shen Xuyun Zhang Wenjie Ruan Longbo Huang OffRL 99 5 0 03 Mar 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 86 4 0 28 Feb 2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping Srikanth Malla Yi-Ting Chen 3DPC 62 3 0 28 Feb 2023
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations Ruihan Zhao Ufuk Topcu Sandeep Chinchali Mariano Phielipp 53 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 90 1 0 25 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 98 4 0 22 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 115 5 0 21 Feb 2023
LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery Paul Maria Scheikl B. Gyenes Rayan Younis Christoph Haas Gerhard Neumann M. Wagner F. Mathis-Ullrich 82 30 0 19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 32 3 0 19 Feb 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization Brendan O'Donoghue OffRL 104 7 0 18 Feb 2023
Model-Based Decentralized Policy Optimization Hao Luo Jiechuan Jiang Zongqing Lu 67 0 0 16 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 128 188 0 13 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 91 21 0 13 Feb 2023
Improving robot navigation in crowded environments using intrinsic rewards Diego Martínez Baselga L. Riazuelo Luis Montano 116 14 0 13 Feb 2023
Controllability-Aware Unsupervised Skill Discovery Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 97 43 0 10 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals Akhil Bagaria Ray Jiang Ramana Kumar Tom Schaul LRM 59 2 0 09 Feb 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu Yewen Fan Paul Pu Liang A. Azaria Yuan-Fang Li Tom Michael Mitchell OffRL 91 53 0 09 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 77 7 0 08 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 64 9 0 08 Feb 2023
Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Marius Lindegaard Hjalmar Jacob Vinje Odin Severinsen 63 2 0 06 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 71 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 159 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 80 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 66 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 110 15 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 63 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 88 3 0 02 Feb 2023
Internally Rewarded Reinforcement Learning Mengdi Li Xufeng Zhao Jae Hee Lee C. Weber S. Wermter 64 11 0 01 Feb 2023
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments Tan Chong Min John Mehul Motani 43 2 0 31 Jan 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 69 6 0 31 Jan 2023
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining Deyao Zhu Yuhui Wang Jürgen Schmidhuber Mohamed Elhoseiny OffRL OnRL 83 8 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 66 5 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 74 8 0 28 Jan 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Daesol Cho Seungjae Lee H. J. Kim 130 15 0 27 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 88 10 0 26 Jan 2023
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning Safa Alver Doina Precup OffRL 59 5 0 24 Jan 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review Artem Latyshev Aleksandr I. Panov 76 1 0 24 Jan 2023
SMART: Self-supervised Multi-task pretrAining with contRol Transformers Yanchao Sun Shuang Ma Ratnesh Madaan Rogerio Bonatti Furong Huang Ashish Kapoor 102 42 0 24 Jan 2023
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning Andrea Soltoggio Eseoghene Ben-Iwhiwhu Christos Peridis Pawel Ladosz Jeffery Dick Praveen K. Pilly Soheil Kolouri OffRL 90 3 0 21 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 69 0 0 19 Jan 2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training Philipp Altmann Thomy Phan Fabian Ritz Thomas Gabor Claudia Linnhoff-Popien OffRL 63 1 0 18 Jan 2023
Embodied Agents for Efficient Exploration and Smart Scene Description Roberto Bigazzi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara LM&Ro 71 7 0 17 Jan 2023
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm Marc Höftmann Jan Robine Stefan Harmeling AI4TS 59 1 0 13 Jan 2023
Exploration in Model-based Reinforcement Learning with Randomized Reward Lingxiao Wang Ping Li 72 0 0 09 Jan 2023
Centralized Cooperative Exploration Policy for Continuous Control Tasks Chong Li Chen Gong Qiang He Xinwen Hou Yu Liu 82 1 0 06 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 134 19 0 05 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 96 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 111 6 0 29 Dec 2022
Intrinsic Motivation in Dynamical Control Systems Stas Tiomkin I. Nemenman Daniel Polani Naftali Tishby 59 5 0 29 Dec 2022
Representation Learning in Deep RL via Discrete Information Bottleneck Riashat Islam Hongyu Zang Manan Tomar Aniket Didolkar Md. Mofijul Islam ... Tariq Iqbal Xin-hui Li Anirudh Goyal N. Heess Alex Lamb SSL OffRL 71 8 0 28 Dec 2022