Exploration by Random Network Distillation

30 October 2018

Amos Storkey

Papers citing "Exploration by Random Network Distillation"

50 / 277 papers shown

Title
Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models Seungjae Lee Daniel Ekpo Haowen Liu Furong Huang Abhinav Shrivastava Jia-Bin Huang LM&Ro 40 0 0 12 May 2025
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning Shashwat Pandey AI4CE 16 0 0 06 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 66 0 0 04 May 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
Learning Bipedal Locomotion on Gear-Driven Humanoid Robot Using Foot-Mounted IMUs Sotaro Katayama Yuta Koda Norio Nagatsuka Masaya Kinoshita 53 0 0 01 Apr 2025
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 93 1 0 26 Mar 2025
World Model Agents with Change-Based Intrinsic Motivation Jeremias Ferrao Rafael Cunha OffRL MoE 52 0 0 26 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability Zihao Liu Xing Liu Yizhai Zhang Zhengxiong Liu Panfeng Huang 69 0 0 19 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 149 0 0 14 Mar 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Zhenghai Xue Lang Feng Jiacheng Xu Kang Kang Xiang Wen Jingyi Wang Shuicheng Yan OffRL 53 0 0 10 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
Reducing Reward Dependence in RL Through Adaptive Confidence Discounting Muhammed Yusuf Satici David L. Roberts OffRL 41 0 0 28 Feb 2025
Spatial-aware decision-making with ring attractors in reinforcement learning systems Marcos Negre Saura Richard Allmendinger Theodore Papamarkou Wei Pan 143 0 0 17 Feb 2025
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning Wesley A. Suttle A. Suresh Carlos Nieto-Granda OffRL 95 0 0 06 Feb 2025
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 74 1 0 02 Feb 2025
NBDI: A Simple and Efficient Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Myunsoo Kim Hayeong Lee Seong-Woong Shim JunHo Seo Byung-Jun Lee LLMAG 37 0 0 22 Jan 2025
Adaptive Data Exploitation in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 175 0 0 22 Jan 2025
Learning to Assist Humans without Inferring Rewards Vivek Myers Evan Ellis Sergey Levine Benjamin Eysenbach Anca Dragan 40 2 0 17 Jan 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Sang-Hyun Lee Daehyeok Kwon Seung-Woo Seo 76 1 0 17 Jan 2025
ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze Chunyu Xuan Yazhe Niu Yuan Pu Shuai Hu Yu Liu Jing Yang 65 0 0 03 Jan 2025
Efficient Active Imitation Learning with Random Network Distillation Emilien Biré Anthony Kobanda Ludovic Denoyer Rémy Portelas 38 1 0 04 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 114 2 0 23 Oct 2024
HG2P: Hippocampus-inspired High-reward Graph and Model-Free Q-Gradient Penalty for Path Planning and Motion Control Haoran Wang Yaoru Sun Zeshen Tang Haibo Shi Chenyuan Jiao 29 0 0 12 Oct 2024
Neuroplastic Expansion in Deep Reinforcement Learning Jiashun Liu J. Obando-Ceron Aaron C. Courville L. Pan 42 3 0 10 Oct 2024
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou VGen 43 1 0 08 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 38 1 0 07 Oct 2024
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction Anthony GX-Chen Kenneth Marino Rob Fergus OCL 56 1 0 21 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 31 5 0 06 Aug 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 43 2 0 14 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 46 1 0 11 Jun 2024
Language Guided Skill Discovery Seungeun Rho Laura Smith Tianyu Li Sergey Levine Xue Bin Peng Sehoon Ha LM&Ro 42 4 0 07 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence Edward Hughes Michael Dennis Jack Parker-Holder Feryal M. P. Behbahani Aditi Mavalankar Yuge Shi Tom Schaul Tim Rocktaschel LRM 34 21 0 06 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 39 1 0 01 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 1 0 30 May 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 40 0 0 29 May 2024
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
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 0 0 19 Apr 2024
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems Pengdeng Li Shuxin Li Xinrun Wang Jakub Cerny Youzhi Zhang Stephen McAleer Hau Chan Bo An 42 1 0 19 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 25 0 0 31 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 48 11 0 22 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
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis Yuanyuan Duan Xingchen Liu Zhiping Yu Hanming Wu Leilai Shao Xiaolei Zhu 15 7 0 28 Dec 2023