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
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning Akash Velu Skanda Vaidyanath Dilip Arumugam OffRL 74 1 0 21 Jul 2023
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback M. Torné Max Balsells Zihan Wang Samedh Desai Tao Chen Pulkit Agrawal Abhishek Gupta 92 8 0 20 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 64 3 0 20 Jul 2023
Towards A Unified Agent with Foundation Models Norman Di Palo Arunkumar Byravan Leonard Hasenclever Markus Wulfmeier N. Heess Martin Riedmiller LM&Ro LLMAG OffRL 83 60 0 18 Jul 2023
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents Grgur Kovač Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 67 19 0 15 Jul 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring Andreas Metzger Tristan Kley Aristide Rothweiler Klaus Pohl 69 4 0 12 Jul 2023
Intrinsically motivated graph exploration using network theories of human curiosity Shubhankar P. Patankar Mathieu Ouellet J. Cerviño Alejandro Ribeiro Kieran A. Murphy Danielle Bassett 80 2 0 11 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 71 1 0 09 Jul 2023
TGRL: An Algorithm for Teacher Guided Reinforcement Learning Idan Shenfeld Zhang-Wei Hong Aviv Tamar Pulkit Agrawal 36 14 0 06 Jul 2023
Learning to Solve Tasks with Exploring Prior Behaviours Ruiqi Zhu Siyuan Li Tianhong Dai Chongjie Zhang Oya Celiktutan 109 4 0 06 Jul 2023
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill Learning Andrew Levy Sreehari Rammohan A. Allievi S. Niekum George Konidaris 62 5 0 06 Jul 2023
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning C. Bellinger Mark Crowley Isaac Tamblyn 34 3 0 05 Jul 2023
FOCUS: Object-Centric World Models for Robotics Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt OCL LM&Ro 95 13 0 05 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 127 17 0 04 Jul 2023
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning Ini Oguntola Joseph Campbell Simon Stepputtis Katia Sycara 78 10 0 03 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 97 3 0 02 Jul 2023
Thompson sampling for improved exploration in GFlowNets Jarrid Rector-Brooks Kanika Madan Moksh Jain Maksym Korablyov Cheng-Hao Liu Sarath Chandar Nikolay Malkin Yoshua Bengio 93 30 0 30 Jun 2023
Landmark Guided Active Exploration with State-specific Balance Coefficient Fei Cui Jiaojiao Fang Mengke Yang Guizhong Liu 65 0 0 30 Jun 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 68 12 0 28 Jun 2023
Maximum State Entropy Exploration using Predecessor and Successor Representations A. Jain Lucas Lehnert Irina Rish Glen Berseth 91 16 0 26 Jun 2023
Inferring Hierarchical Structure in Multi-Room Maze Environments Daria de Tinguy Toon Van de Maele Tim Verbelen Bart Dhoedt 96 0 0 23 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu Lipeng Zu Li He Donglin Wang OffRL 119 9 0 23 Jun 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 70 3 0 22 Jun 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 124 18 0 21 Jun 2023
SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm In Complex Dynamic Scenes Jianmin Qin Jiahu Qin Jiaxin Qiu Qingchen Liu Man Li Qichao Ma 120 10 0 18 Jun 2023
ALP: Action-Aware Embodied Learning for Perception Xinran Liang Anthony Han Wilson Yan Aditi Raghunathan Pieter Abbeel VLM 94 1 0 16 Jun 2023
Simplified Temporal Consistency Reinforcement Learning Yi Zhao Wenshuai Zhao Rinu Boney Arno Solin Joni Pajarinen OffRL 75 13 0 15 Jun 2023
Inroads into Autonomous Network Defence using Explained Reinforcement Learning Myles Foley Miaowei Wang M. Zoe Chris Hicks V. Mavroudis AAML 62 15 0 15 Jun 2023
Reward-Free Curricula for Training Robust World Models Marc Rigter Minqi Jiang Ingmar Posner VLM OffRL 86 9 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 88 7 0 14 Jun 2023
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback Junfan Lin Yuying Zhu Lingbo Liu Yang Liu Guanbin Li Liang Lin 64 12 0 13 Jun 2023
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second Vincent-Pierre Berges Andrew Szot Devendra Singh Chaplot Aaron Gokaslan Roozbeh Mottaghi Dhruv Batra Eric Undersander LRM LM&Ro 96 5 0 13 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 57 6 0 12 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation Jian Tao Yang Zhang Yang Chen Xiu Li 56 1 0 10 Jun 2023
A newborn embodied Turing test for view-invariant object recognition Denizhan Pak Donsuk Lee Samantha M. W. Wood Justin N. Wood LM&Ro 61 5 0 08 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 80 24 0 08 Jun 2023
A Cover Time Study of a non-Markovian Algorithm Guanhua Fang G. Samorodnitsky Zhiqiang Xu 107 0 0 08 Jun 2023
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision Faris Janjos Max Keller Maxim Dolgov J. Marius Zöllner 79 7 0 06 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff Minqi Jiang Roberta Raileanu 90 13 0 05 Jun 2023
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning Sam Lobel Akhil Bagaria George Konidaris 83 19 0 05 Jun 2023
OMNI: Open-endedness via Models of human Notions of Interestingness Jenny Zhang Joel Lehman Kenneth O. Stanley Jeff Clune LRM 128 36 0 02 Jun 2023
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning A. Liu Alla Borisyuk 48 7 0 01 Jun 2023
What model does MuZero learn? Jinke He Thomas M. Moerland F. Oliehoek 102 5 0 01 Jun 2023
Latent Exploration for Reinforcement Learning A. Chiappa Alessandro Marin Vargas Ann Zixiang Huang Alexander Mathis 90 18 0 31 May 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 87 10 0 31 May 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration Dongyoung Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 78 22 0 31 May 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration Zhihan Liu Miao Lu Wei Xiong Han Zhong Haotian Hu Shenao Zhang Sirui Zheng Zhuoran Yang Zhaoran Wang OffRL 124 22 0 29 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 84 33 0 29 May 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach Yudi Zhang Yali Du Erdun Gao Ziyan Wang Jun Wang Meng Fang Mykola Pechenizkiy CML 109 18 0 28 May 2023
Visual Affordance Prediction for Guiding Robot Exploration Homanga Bharadhwaj Abhi Gupta Shubham Tulsiani 122 15 0 28 May 2023