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
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations Stefan Sylvius Wagner Stefan Harmeling 68 2 0 05 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 87 3 0 03 Feb 2024
To the Max: Reinventing Reward in Reinforcement Learning Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 68 6 0 02 Feb 2024
Robust Path Planning via Learning from Demonstrations for Robotic Catheters in Deformable Environments Zhen Li Chiara Lambranzi Di Wu Alice Segato Federico De Marco E. V. Poorten Jenny Dankelman Elena De Momi MedIm 44 1 0 01 Feb 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 138 0 0 31 Jan 2024
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability Navin Kamuni Hardik Shah Sathishkumar Chintala Naveen Kunchakuri Sujatha Alla Old Dominion 96 19 0 31 Jan 2024
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning Xuecheng Niu Akinori Ito Takashi Nose 131 2 0 31 Jan 2024
$R$\times$R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training$ R $\times$ R: Rapid eXploration for Reinforcement Learning via Sampling-based Reset Distributions and Imitation Pre-training Gagan Khandate Tristan L. Saidi Siqi Shang Eric T. Chang Yang Liu Seth Matthew Dennis Johnson Adams M. Ciocarlie 127 4 0 27 Jan 2024
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research Jan Dohmen Frank Röder Manfred Eppe OffRL 38 0 0 25 Jan 2024
Active Inference as a Model of Agency Lancelot Da Costa Samuel Tenka Dominic Zhao Noor Sajid 87 8 0 23 Jan 2024
Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot Xinda Qi Dong Chen Zhao Li Xiaobo Tan 67 2 0 21 Jan 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 112 17 0 18 Jan 2024
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation Meng Cao Lei Shu Lei Yu Yun Zhu Nevan Wichers Yinxiao Liu Lei Meng OffRL ALM 62 7 0 14 Jan 2024
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments Shaurya Dewan Anisha Jain Zoe LaLena Lifan Yu 32 0 0 08 Jan 2024
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds Shivam Goel Yichen Wei Panagiotis Lymperopoulos matthias. scheutz Jivko Sinapov GNN 72 3 0 07 Jan 2024
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges Xiaoqian Liu Jianbin Jiao Junge Zhang OffRL LRM 107 2 0 29 Dec 2023
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 75 3 0 27 Dec 2023
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 94 1 0 19 Dec 2023
Benchmarks for Physical Reasoning AI Andrew Melnik Robin Schiewer Moritz Lange Andrei Muresanu Mozhgan Saeidi Animesh Garg Helge J. Ritter 110 9 0 17 Dec 2023
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft Hao Li Xue Yang Zhaokai Wang Xizhou Zhu Jie Zhou Yu Qiao Xiaogang Wang Hongsheng Li Lewei Lu Jifeng Dai 103 36 0 14 Dec 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers Taewook Nam Juyong Lee Jesse Zhang Sung Ju Hwang Joseph J Lim Karl Pertsch OffRL LRM 106 8 0 14 Dec 2023
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning Violet Xiang Logan Cross Jan-Philipp Fränken Nick Haber 58 0 0 14 Dec 2023
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning Dianyu Zhong Yiqin Yang Qianchuan Zhao 59 7 0 11 Dec 2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 84 1 0 10 Dec 2023
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment Daria de Tinguy Toon Van de Maele Tim Verbelen Bart Dhoedt 122 6 0 08 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning Pathmanathan Pankayaraj Natalia Díaz Rodríguez Javier Del Ser CLL OffRL 154 0 0 05 Dec 2023
Regularity as Intrinsic Reward for Free Play Cansu Sancaktar J. Piater Georg Martius 75 2 0 03 Dec 2023
DGMem: Learning Visual Navigation Policy without Any Labels by Dynamic Graph Memory Wenzhe Cai Teng Wang Guangran Cheng Lele Xu Changyin Sun 91 1 0 30 Nov 2023
Goal-conditioned Offline Planning from Curious Exploration Marco Bagatella Georg Martius OffRL 88 1 0 28 Nov 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 119 3 0 28 Nov 2023
Probabilistic Inference in Reinforcement Learning Done Right Jean Tarbouriech Tor Lattimore Brendan O'Donoghue BDL OffRL 88 4 0 22 Nov 2023
Learning Agile Locomotion on Risky Terrains Chong Zhang Nikita Rudin David Hoeller Marco Hutter 61 23 0 17 Nov 2023
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning Hang Yu Reuben M. Aronson Katherine H. Allen E. Short 84 4 0 17 Nov 2023
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 87 1 0 16 Nov 2023
Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge Sang-Hyun Lee Seung-Woo Seo ODL CLL SSL 77 3 0 15 Nov 2023
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 62 2 0 14 Nov 2023
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control Pei Zhang Zhaobo Hua Jinliang Ding 78 0 0 14 Nov 2023
General Policies, Subgoal Structure, and Planning Width Blai Bonet Hector Geffner 55 2 0 09 Nov 2023
Accelerating Exploration with Unlabeled Prior Data Qiyang Li Jason Zhang Dibya Ghosh Amy Zhang Sergey Levine OffRL OnRL 104 9 0 09 Nov 2023
Selective Visual Representations Improve Convergence and Generalization for Embodied AI Ainaz Eftekhar Kuo-Hao Zeng Jiafei Duan Ali Farhadi Aniruddha Kembhavi Ranjay Krishna 109 17 0 07 Nov 2023
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 106 1 0 06 Nov 2023
Environmental-Impact Based Multi-Agent Reinforcement Learning Farinaz Alamiyan Harandi Pouria Ramazi 127 1 0 06 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 176 4 0 06 Nov 2023
Learning to Discover Skills through Guidance Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Sejik Park Kyushik Min Jaegul Choo 112 6 0 31 Oct 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 136 31 0 30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement Daesol Cho Seungjae Lee H. J. Kim OODD 96 2 0 30 Oct 2023
Unsupervised Behavior Extraction via Random Intent Priors Haotian Hu Yiqin Yang Jianing Ye Ziqing Mai Chongjie Zhang OffRL 81 9 0 28 Oct 2023
Improving Intrinsic Exploration by Creating Stationary Objectives Roger Creus Castanyer Javier Civera Taihú Pire OffRL 115 4 0 27 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang Zhang-Wei Hong Eric Chen Akhilan Boopathy Pulkit Agrawal Ila Fiete CLL 80 5 0 26 Oct 2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model Seungjae Lee Daesol Cho Jonghae Park H. J. Kim 85 9 0 26 Oct 2023