Model-Based Planning

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38 papers in the last four weeks, up 192% on the four weeks before. 0.4% of all new papers.

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Latest papers 166

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Dual-Frontier: When Can an Agent Trust Its World Model?
Sep 22, 2026Huatai Zhu, Qiang Chen, Ziqian Kou +5World Model-Based Planning Model-Based Planning
Central South University · The Hong Kong University of Science and Technology · Xiangjiang Laboratory +2
D-JEPA: A Decision-Aligned Latent World Model
Sep 21, 2026Shuaijun Liu, Chengyu Wu, Qifu Wen +5World Models World Model-Based Planning
The Hong Kong University of Science and Technology (Guangzhou) · Boston University · Shanghai Jiao Tong University
Beyond Visual Quality: A Study of Test-Time Planning with World Action Models
Sep 21, 2026Jianhao Yuan, Yu Yuan, Benjamin Ramtoula +5World Model-Based Planning Action-Conditioned World Models
University of Oxford · Purdue University · UWE Bristol
Graph-Based Stochastic Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
Sep 17, 2026Tung Tran, Viet Bao Mai, Hoang Ta +1Markov Decision Processes Monte Carlo Tree Search
School of ICT Hanoi University of Science and Technology Hanoi, Vietnam
Feeling Terrain Before Crossing: World Models for Off-Road Navigation
Sep 17, 2026E-In Son, Dong-Wook Kim, Ji-Hoon Hwang +4Off-Road Robot Navigation Robot Navigation
Department of Electrical & Computer Engineering, Seoul National University, Republic of Korea
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Sep 16, 2026Tuan Dam, Kishan Panaganti, Brahim Driss +1Monte Carlo Tree Search Distributionally Robust RL
Hanoi University of Science and Technology, Hanoi, Vietnam · Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA · Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL
Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging
Sep 15, 2026Liang-Ching Tao, Pi-Chung WangMonte Carlo Tree Search Model-Based Planning
Department of Computer Science and Engineering, National Chung Hsing University · Xingda Rd., South District, Taichung 402, Taiwan
From Prediction to Decision: World-Model-Guided Action Selection for Continuous Pile Excavation
Sep 14, 2026Ailing Zhang, Fan Gao, Song Zhang +3World Models for Robotics Action-Conditioned World Models
1Tsing-AI (Shanghai) Technology Co., Ltd. · 2Shanghai Jiao Tong University. · 3Shanghai Ocean University.
CAST: Alternating State-Value Targets and Expanded Policy Gradients for Model-Based Reinforcement Learning
Sep 8, 2026Pietro Noah Crestaz, Mohamed Yassine Kabouri, Nicolas Mansard +1RL for Robotics Reinforcement Learning
1Industrial Engineering Department, University of Trento, Trento, Italy. · 2LAAS-CNRS, Universit´e de Toulouse, CNRS, Toulouse, France. · 4Artificial and Natural Intelligence Toulouse Institute (ANITI), Toulouse. +1
CLAMP: Constrained Decoding for Vision-Language Embodied Planning
Sep 8, 2026Tianyi Ma, Parisa KordjamshidiConstrained Decoding Vision-Language Grounding
Michigan State University
Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing Degradation
Sep 7, 2026Geonmyeong Lee, Byoung-Tak ZhangWorld Models for Robotics World Model-Based Planning
Seoul National University
CST-WM: A Causally Structured World Model for Embodied Visual Tracking
Sep 5, 2026Junyi Hu, Shuaihang Yuan, Jiazhao Liang +1Causal World Models Visual Object Tracking
New York University Abu Dhabi
Latent Energy Action Planning with World Models
Sep 3, 2026Phu Pham, Aniket BeraTrajectory Optimization World Model-Based Planning
Department of Computer Science, Purdue University, USA
Spectral-Target Physical Latent Structuring for JEPA-Style World Models
Sep 2, 2026Penghao Zhu, Salvatore Penachio, Kaustav Mukherjee +1World Model Learning World Model-Based Planning
Kaliber Labs San Francisco, CA 94103, USA
Modeling What Changes: Sparse, Residual World Models for Object-Centric Manipulation
Sep 2, 2026Param Thakkar, Parsika Paresh Shah, Manisha Sushant GoteWorld Model Learning World Models for Robotics
Veermata Jijabai Technological Institute · Arizona State University · ZuiGO Private Limited
Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration
Aug 31, 2026Jeffrey Jewett, William Solow, Sandhya SaisubramanianActive Learning Model-Based Planning
Oregon State University
The Intervention Gap in Latent World Models
Aug 30, 2026Donna VakalisWorld Model-Based Planning Model-Based Planning
Mila – Quebec AI Institute · University of Montreal
Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
Aug 29, 2026Fabio F. Oberweger, Michael Schwingshackl, Markus MurschitzWorld Models for Robotics World Model-Based Planning
AIT Austrian Institute of Technology Assistive & Autonomous Systems
Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution
Aug 29, 2026Mohammad Nazeri, Alexandyr Card, Samira Huber +6Kinodynamic Motion Planning World Models for Robotics
George Mason University · Kiel University · Ludwig Maximilian University Munich +1
Reinforced Planning with Latent World Models
Aug 19, 2026Armin Sommer, Jannik SchillingWorld Model-Based Planning Robotic RL
Pantheon Industries
Reperesentation Geometry Matters for Planning with JEPA World Models
Aug 17, 2026Jiaming Hu, Yan Zheng, Shi Bo +9Representation Learning Neural Representation Geometry
Boston University · Unity Technologies
The Objective Is the Bottleneck: Latent World Models Encode What Their Planners Cannot Use
Aug 13, 2026Joyjeet SinghWorld Model-Based Planning Model-Based Planning
Independent researcher
VIScore: Diagnosing Planning-Relevant Quality in Latent World Models
Aug 11, 2026Haiyu Wu, Randall Balestriero, Morgan LevineRepresentation Learning World Models
Altos Labs · Brown University
The Evaluation Protocol Determines the Result: An Independent Reproduction of LeWorldModel on TwoRoom
Aug 10, 2026Joyjeet SinghWorld Model-Based Planning Long-Horizon Agent Evaluation
Independent researcher
CausalNav: Reliability-Certified Causal World Models for Control under Physical-Parameter Shift
Aug 7, 2026Yiyao Zhang, Diksha Goel, Hussain Ahmad +2Causal World Models World Models
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia · CSIRO’s Data61, Clayton, VIC, Australia · School of Computer Science and Information Technology, Adelaide University, Adelaide, SA, Australia
UniJEPA: A Unified Joint-Embedding Predictive Architecture for Task-Agnostic Visual World Modeling
Aug 7, 2026An Lanji, Dawei Liu, Jin Li +3World Model Learning Joint-Embedding Predictive Architecture
University of Electronic Science and Technology of China, Chengdu, China.
MemWM: Memory-Augmented Text-Based World Model
Aug 7, 2026Yujun Wang, Tao Zhang, Jinhe Bi +9LLM World Models World Model Learning
LMU Munich · Munich Center for Machine Learning (MCML) · Huawei Heisenberg Research Center +4
Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model
Aug 4, 2026Seonaeng Cho, Minjee Seo, Minju Seol +3Neural Surrogate Modeling Model-Based Planning
School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea · College of Medicine, Department of Radiology, Yonsei University, Seoul, Republic of Korea · Innovative & Intelligent Computational Science Institute (IN2CSI), Seoul, Republic of Korea
Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning
Aug 3, 2026Yiran Gao, Tao Li, Kim HammarCybersecurity Model-Based Planning
City University of Hong Kong, Hong Kong SAR · Imperial College London, United Kingdom
ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal Reaching
Aug 3, 2026Zihan Liu, Yuzhe Zhuang, Yuanzu Li +4World Model-Based Planning Long-Horizon Planning
The Hong Kong University of Science and Technology (Guangzhou) · Independent Researcher · The Chinese University of Hong Kong +1

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Dual-Frontier: When Can an Agent Trust Its World Model?

Huatai Zhu, Qiang Chen, Ziqian Kou, Wenhao Li+4

Central South University · The Hong Kong University of Science and Technology · Xiangjiang Laboratory+2

World Model-Based Planning Model-Based Planning World Model Evaluation Counterfactual Learning Model-Based RL

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Learned world models are becoming essential to general-purpose agents: by predicting action consequences, they support planning and decision-making while reducing reliance on costly trial and error. This reliance creates a fundamental ambiguity: when a world-model-guided decision fails, the trajectory alone may not reveal whether the agent's decision rule or the world model caused the loss. We formalize this failure-attribution problem as a counterfactual decomposition of return loss and prove that its components are not identifiable from passive interaction, even for finite-horizon planners. This obstruction motivates Dual-Frontier, a learning principle that admits a world-model-guided decision only when its predicted advantage exceeds a certified bound on decision-relevant world-model error; otherwise, evidence is allocated to world-model verification. Action-conditioned value bounds and a closed-loop extension guarantee non-decreasing return for admitted decisions. Calibrated gates and simultaneous confidence sequences support adaptive evidence reuse, with sufficient and necessary verification bounds. Controlled learned-model experiments validate the predicted failure modes and certification behavior, while cross-backbone tool-use benchmarks instantiate the same verify-then-promote rule in realistic agent world-model pipelines, consistently improving decision quality and reliability.

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Latest papers 166