Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 325 papers shown

Title
Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control Yuxin Chen Jianglan Wei Chenfeng Xu Boyi Li Masayoshi Tomizuka Andrea V. Bajcsy Ran Tian 15 0 0 19 Jun 2025
Measuring (a Sufficient) World Model in LLMs: A Variance Decomposition Framework Nadav Kunievsky James A. Evans 10 0 0 19 Jun 2025
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis Yuan Gao Mattia Piccinini Yuchen Zhang Dingrui Wang Korbinian Moller ... Steven Peters Andrea Stocco Bassam Alrifaee Marco Pavone Johannes Betz 25 0 0 13 Jun 2025
Simple, Good, Fast: Self-Supervised World Models Free of Baggage Jan Robine Marc Höftmann Stefan Harmeling DRL OCL 69 1 0 03 Jun 2025
Learning Abstract World Models with a Group-Structured Latent Space Thomas Delliaux Nguyen-Khanh Vu Vincent François-Lavet Elise van der Pol Emmanuel Rachelson DRL 61 0 0 02 Jun 2025
Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning Junaid Muzaffar Ahsan Adeel K. Ahmed Ingo Frommholz Zeeshan Pervez 45 0 0 31 May 2025
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency Kewei Lian Shaofei Cai Yilun Du Yitao Liang 78 0 0 29 May 2025
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence Mehdi Bennis Salem Lahlou 71 1 0 27 May 2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving Chen Shi Shaoshuai Shi Kehua Sheng Bo Zhang Li Jiang VGen 86 0 0 25 May 2025
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Xiaodong Wang Peixi Peng VGen 1.1K 1 0 24 May 2025
VideoGameBench: Can Vision-Language Models complete popular video games? Alex Zhang Thomas Griffiths Karthik Narasimhan Ofir Press VLM 98 0 0 23 May 2025
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach Xiaoran Yin Xu Luo Hao Wu Lianli Gao Jingkuan Song 78 0 0 22 May 2025
Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning Kalyan Cherukuri Aarav Lala Yash Yardi 50 0 0 17 May 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Minting Pan Yitao Zheng Jiajian Li Yunbo Wang Xiaokang Yang OffRL 126 0 0 10 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi Eilif Muller Shahab Bakhtiari 164 0 0 06 May 2025
Learning to Drive from a World Model Mitchell Goff Greg Hogan George Hotz Armand du Parc Locmaria Kacper Raczy Harald Schäfer Adeeb Shihadeh Weixing Zhang Yassine Yousfi 83 2 0 27 Apr 2025
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation Kevin Alcedo Pedro U. Lima Rachid Alami 107 0 0 26 Mar 2025
AdaWorld: Learning Adaptable World Models with Latent Actions Shenyuan Gao Siyuan Zhou Yilun Du Jun Zhang Chuang Gan VGen 186 8 0 24 Mar 2025
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space Jian Zhu Zhengyu Jia Tian Gao Jiaxin Deng Shidi Li Fu Liu Peng Jia Xianpeng Lang Xiaolong Sun VGen 437 1 0 12 Mar 2025
Temporal Triplane Transformers as Occupancy World Models Haoran Xu Peixi Peng Guang Tan Yiqian Chang Yisen Zhao Yonghong Tian 184 2 0 10 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 112 0 0 08 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding Maxime Burchi Radu Timofte 126 2 0 06 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning Yixiang Sun Haotian Fu M. L. Littman George Konidaris OffRL CLL VLM 112 0 0 06 Mar 2025
Four Principles for Physically Interpretable World Models Jordan Peper Zhenjiang Mao Yuang Geng Siyuan Pan Ivan Ruchkin 151 1 0 04 Mar 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son Soochan Lee Gunhee Kim OffRL 133 4 0 26 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 233 1 0 20 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 142 1 0 17 Feb 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 124 0 0 28 Jan 2025
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning Batıkan Bora Ormancı Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 144 0 0 28 Jan 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Yue Yang VGen 158 8 0 20 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 464 0 0 03 Jan 2025
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models Yue Zhang Ziqiao Ma Jialu Li Yanyuan Qiao Zun Wang J. Chai Qi Wu Joey Tianyi Zhou Parisa Kordjamshidi LRM 163 24 0 31 Dec 2024
Understanding World or Predicting Future? A Comprehensive Survey of World Models Jingtao Ding Yunke Zhang Yu Shang Yuheng Zhang Zefang Zong ... Hongyuan Su Nian Li Nicholas Sukiennik Fengli Xu Yong Li VGen SyDa 156 16 0 21 Nov 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang Ivana Dusparic Yucheng Shi Ke Zhang Vinny Cahill Mamba 460 1 0 11 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 240 0 0 10 Oct 2024
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving Bernard Lange Masha Itkina Jiachen Li Mykel J. Kochenderfer 107 4 0 30 Jul 2024
From Manifestations to Cognitive Architectures: a Scalable Framework Alfredo Ibias Guillem Ramirez-Miranda Enric Guinovart Eduard Alarcon GNN 37 3 0 14 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 119 0 0 03 Jun 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen V. JyothirS Vlad Sobal Yann LeCun Xiaolong Wang Hao Su VGen 139 11 0 28 May 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao Jiazhi Yang Li Chen Kashyap Chitta Yihang Qiu Andreas Geiger Jun Zhang Hongyang Li 167 103 0 27 May 2024
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL Manuel S. Nunes Atabak Dehban Y. Demiris J. Santos-Victor 97 0 0 27 May 2024
Innate Motivation for Robot Swarms by Minimizing Surprise: From Simple Simulations to Real-World Experiments Tanja Katharina Kaiser Heiko Hamann 188 12 0 04 May 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System Mohamed Roshdi Julian Petzold Mostafa Wahby Hussein Ebrahim Mladen Berekovic Heiko Hamann 67 0 0 26 Apr 2024
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation Hongxin Zhang Zeyuan Wang Qiushi Lyu Zheyuan Zhang Sunli Chen Tianmin Shu Yilun Du Kwonjoon Lee Yilun Du Chuang Gan 169 18 0 16 Apr 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 160 5 0 13 Dec 2023
Continuous optimization by quantum adaptive distribution search Kohei Morimoto Yusuke Takase K. Mitarai Keisuke Fujii 27 2 0 29 Nov 2023
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents Zhuosheng Zhang Yao Yao Aston Zhang Xiangru Tang Xinbei Ma ... Yiming Wang Mark B. Gerstein Rui Wang Gongshen Liu Hai Zhao LLMAG LM&Ro LRM 151 61 0 20 Nov 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice Idan Lev-Yehudi Moran Barenboim Vadim Indelman 144 6 0 13 Nov 2023
MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations Heyuan Yao Zhenhua Song Yuyang Zhou Tenglong Ao Baoquan Chen Libin Liu 135 44 0 16 Oct 2023
Novelty Detection in Reinforcement Learning with World Models Geigh Zollicoffer Kenneth Eaton Jonathan C. Balloch Julia Kim Wei Zhou Robert Wright Mark O. Riedl 91 1 0 12 Oct 2023