ICLR 2026PastOther
ICLR 2026 the 2nd Workshop on World Models: Understanding, Modelling and Scaling
ICLR 2026 Workshop World Models
- Submission deadline
- Feb 8, 2026, 11:59 UTCOpenReview-synced 2026-02-08 11:59 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (94)
Fetched from OpenReview (v2) on 2026-06-10.
[Tiny Paper] Safe Streaming Flow Planning by Aligning Generation with Execution
[Tiny Paper] GEST-Engine: Controllable Multi-Actor Video Synthesis with Perfect Spatiotemporal Annotations
[Tiny Paper] Integrating Simulation and Chain-of-thought Reasoning in Multimodal-Language Models For Physical Reasoning
[Tiny Paper] Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
[Tiny Paper] Modular Training-Free Construction of Executable 3D Worlds from Narrative Text
[Tiny Paper] Probabilistic Dreaming for World Models
[Tiny Paper] Shortcut World Models: Learning to Leap, Not Step
[TINY PAPER] Temporal Reversal Asymmetry: A Physics-Inspired Metric for Evaluating World Models
[Tiny Paper] Toward Pixel-Grounded World Models for Powered Descent: A Rocket Landing Benchmark and Expert Baseline
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
Action Shapley: A training data selection metric for Training World Models for Reinforcement Learning
Active World-Model with 4D-informed Re- trieval for Exploration and Awareness
Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs
BlockMamba: Efficient Scalable Structured Sparsity for Mamba
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
CausalPhysics: Unifying Semantic Reasoning, Physical Dynamics, and Counterfactual Simulation in World Models
CausalSliders: Graph-Guided LoRA Interventions for Causally Consistent Image Editing
CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning
Cognitive Digital Twin Framework: Modeling and Real-Time Decision Making
Coherence‑Validated Causal World Models for Multi‑Scale Alzheimer’s Disease Progression and Pharmacologic Reversal
Compositional Planning with Jumpy World Models
Computer-Using World Model
Consistent Video World Model With Geometry-Aware Rotary Position Embedding
Cross-View World Models
Ctrl-World: A Controllable Generative World Model for Robot Manipulation
DexSIM: Real-time Dexterous Simulation with Unified Causal Video Diffusion
Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks
Dreamer-CDP: Improving Reconstruction-free World Models Via Continuous Deterministic Representation Prediction [Tiny Paper]
Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
EGO-FLIGHT: Egocentric Grounding of Order for Frame-Level Inference in General Human Timelines
ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
Environment Maps: Structured Environmental Representations for Long-Horizon Agents
Evidential Latent World Models for Safe Model-based Reinforcement Learning
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory
FluIDWorld: Fluid-like Interactive Dynamics for 4D Worlds
GridWM-Judge: Evaluating Vision-Language Model Judges in Grid Worlds via World Model Deficits
Grounding Generated Videos in Feasible Plans via World Models
H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
Hierarchical Latent Action Model
Hierarchical World Models for Strategic AI Agents: Bridging Simulation and Reality through Multi-Fidelity Learning
Identity-GRPO: Optimizing Multi-Human Identity-preserving Video Generation via Reinforcement Learning
Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
LaMo: A Latent Motion World Model for Long-Horizon Prediction
Latent Imagination Thinking: Beyond Recursive Models for Reasoning
LatentGS: Probabilistic Densification for Efficient, Compact, and Faster 3D Gaussian Splatting
Learning Evolving Latent Strategies for Multi-Agent Language Systems without Model Fine-Tuning
Learning Navigable World Models via Latent Energy Shaping
Lifting Ego World Models for Planning and Control
Mnemo: Policy Learning Accelerated by Experience
Model Predictive Control with Differentiable World Models for Offline Reinforcement Learning
Model Space Reasoning as Search in Feedback Space for Planning Domain Generation
Model-Based Meta-Learning for Algorithm Discovery
Motion Attribution for Video Generation
MULTI-COMPONENT OUTCOME PREDICTION FOR ENTERPRISE ROUTING VIA HIERARCHICAL CREDIT ASSIGNMENT
Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning
Neural Computers
Next Embedding Prediction Makes World Models Stronger
Parallel Stochastic Gradient-Based Planning for World Models
Physical Informed Driving World Models
PhysLang: a Small Diagnostic Framework for Language-Grounded World Modeling
Planning with Unified Multimodal Models
PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
PREDICTING CAMERA POSE FROM PERSPECTIVE DESCRIPTIONS FOR SPATIAL REASONING
ProgressLM: Towards Progress Reasoning in Vision-Language Models
Reinforcement Learning with World Models for Optimizing Alzheimer’s Disease Treatment Timing and Dosing
Rethinking Video Generation Model for the Embodied World
Reward-Forcing: Autoregressive Video Generation with Reward Feedback
RigidBench: Evaluating Rigid-Body Physics in Video Generation Models
Robustness in the Face of Partial Identifiability in Reward Learning Problems
Safe Context Switching for Agents in the Wild: Mitigating Subspace Interference via Orthogonal Adaptation
Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models
Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation
Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing
stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation [Tiny Paper]
Structure from Diffusion: Taming Video Diffusion Models for Camera Pose Estimation in Dynamic Videos
the Mouth is Not the Brain: Bridging Energy-Based World Models and Language Generation
Toward World Models for Epidemiology
Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
Tree of Options: Temporally Extended World Modeling, Planning, and Execution with Large Language Models
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
Understanding Early Collapse in Predictive World-Model Pretraining
VFMF: Dense Forecasting by Generating Foundation Model Features
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents
Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotics
What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
World Action Models are Zero-shot Policies
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
World Models as Execution Simulators for Automated Program Repair
World-Gymnast: Training Robots with Reinforcement Learning in a World Model