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 Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 43 1 0 20 May 2024
Visual Episodic Memory-based Exploration J. Vice Natalie Ruiz-Sanchez P. Douglas G. Sukthankar 31 0 0 18 May 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 32 0 0 06 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 29 0 0 19 Apr 2024
A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning Nan Jiang 30 5 0 15 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation Carlos Plou Ana C. Murillo Ruben Martinez-Cantin OffRL 40 0 0 02 Apr 2024
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning Jing Tan R. Khalili Holger Karl 28 0 0 13 Mar 2024
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming Hany Hamed Subin Kim Dongyeong Kim Jaesik Yoon Sungjin Ahn 47 4 0 29 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 50 11 0 22 Feb 2024
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making Scotty Black Christian J. Darken 16 2 0 08 Feb 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau Nicolas Bredeche F. Benamar Jae-Yun Jun 36 1 0 06 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 56 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 34 19 0 31 Jan 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 36 3 0 27 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 38 0 0 05 Dec 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 35 3 0 28 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 42 3 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 34 1 0 16 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 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 38 5 0 26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan Cheng Jing Yang Vincent Tan Yingbin Liang 30 0 0 20 Oct 2023
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning Jiachen Li Qiaozi Gao Michael Johnston Xiaofeng Gao Xuehai He Suhaila Shakiah Hangjie Shi R. Ghanadan William Y. Wang LM&Ro 27 12 0 14 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 34 1 0 12 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 28 6 0 09 Oct 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks Wenke Huang Filippos Christianos Zhibin Li 40 8 0 28 Sep 2023
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience Haresh Karnan Elvin Yang Daniel Farkash Garrett A. Warnell Joydeep Biswas Peter Stone SSL 33 26 0 26 Sep 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 38 1 0 26 Sep 2023
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug Design M. Chadi H. Mousannif Ahmed Aamouche BDL 52 2 0 24 Sep 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents Sungwoo Lee Younghyun Oh Hyunhoe An Hyebhin Yoon K. Friston Seok Jun Hong Choong-Wan Woo AI4CE 31 1 0 12 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 47 0 0 08 Sep 2023
Language Reward Modulation for Pretraining Reinforcement Learning Ademi Adeniji Amber Xie Carmelo Sferrazza Younggyo Seo Stephen James Pieter Abbeel 39 26 0 23 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 Aug 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 24 1 0 09 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 20 3 0 02 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 24 3 0 22 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 30 13 0 15 Jun 2023
Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models Lingxi Xie Longhui Wei Xiaopeng Zhang Kaifeng Bi Xiaotao Gu Jianlong Chang Qi Tian 38 7 0 14 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 30 4 0 12 Jun 2023
A Cover Time Study of a non-Markovian Algorithm Guanhua Fang G. Samorodnitsky Zhiqiang Xu 23 0 0 08 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 34 25 0 29 May 2023
Visual Affordance Prediction for Guiding Robot Exploration Homanga Bharadhwaj Abhi Gupta Shubham Tulsiani 44 12 0 28 May 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener Ofir Nachum Joan Bruna AI4CE 26 21 0 26 May 2023
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata Caitlin Grasso Josh Bongard 31 0 0 24 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 41 5 0 18 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 31 6 0 15 May 2023
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization Yangyang Zhao Zhenyu Wang Mehdi Dastani Shihan Wang 21 0 0 05 May 2023