ICLR 2025PastOther
ICLR 2025 Workshop on World Models: Understanding, Modelling and Scaling
ICLR 2025 Workshop World Models
- Submission deadline
- Feb 27, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (63)
Fetched from OpenReview (v2) on 2026-06-10.
A Proposal for Networks Capable of Continual Learning
A Virtual Reality-Integrated System for Behavioral Analysis in Neurological Decline
Accelerating Goal-Conditioned RL Algorithms and Research
Accelerating Model-Based Reinforcement Learning with State-Space World Models
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving
Adapting a World Model for Trajectory Following in a 3D Game
BEYOND SINGLE-STEP: MULTI-FRAME ACTION- CONDITIONED VIDEO GENERATION FOR REINFORCE- MENT LEARNING ENVIRONMENTS
BiD: Behavioral Agents in Dynamic Auctions
COMPARATIVE STUDY OF WORLD MODELS, NVAE-BASED HIERARCHICAL MODELS, AND NOISYNET-AUGMENTED MODELS IN CARRACING-V2
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
DIALOGUES BETWEEN ADAM AND EVE: EXPLORATION OF UNKNOWN CIVILIZATION LANGUAGE BY LLM
Distribution Recovery in Compact Diffusion World Models via Conditioned Frame Interpolation
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Effectively Designing 2-Dimensional Sequence Models for Multivariate Time Series
Emergent Stack Representations in Modeling Counter Languages Using Transformers
Fixed-Point RNNs: From Diagonal to Dense in a Few Iterations
From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
Generalist World Model Pre-Training for Efficient Reinforcement Learning
Generating Symbolic World Models via Test-time Scaling of Large Language Models
GOLLuM: Gaussian Process Optimized LLMs — Reframing LLM Finetuning through Bayesian Optimization
HEP-JEPA: A foundation model for collider physics
HuWo: Building Physical Interaction World Models for Humanoid Robot Locomotion
Improving Transformer World Models for Data-Efficient RL
Improving World Models using Supervision with Co-Evolving Linear Probes
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles
Latent Action Learning Requires Supervision in the Presence of Distractors
Latent Representation Encoding and Multimodal Biomarkers for Post-Stroke Speech Assessment
LEARNING FROM LESS: SINDY SURROGATES IN RL
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
MS-SSM: A Multi-Scale State Space Model for Enhanced Sequence Modeling
Newton - A Small Benchmark for Interactive Foundation World Models
Object-Centric Latent Action Learning
Object-Centric Representations Generalize Better Compositionally with Less Compute
Object-Centric World Model for Language-Guided Manipulation
PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data
Pre-Trained Video Generative Models as World Simulators
Programmatic Video Prediction Using Large Language Models
Pushing the Limit of Sample-Efficient Offline Reinforcement Learning
RADI: LLMs as World Models for Robotic Action Decomposition and Imagination
Reconstructing Dynamics from Steady Spatial Patterns with Partial Observations
Recurrent world model with tokenized latent states
Revisiting the Othello World Model Hypothesis
Reward-free World Models for Online Imitation Learning
Scalable Humanoid Whole-Body Control via Differentiable Neural Network Dynamics
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
Scaling Laws for Pre-training Agents and World Models
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Stress-Testing Offline Reward-Free Reinforcement Learning: A Case for Planning with Latent Dynamics Models
Temporal Difference Flows
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
Trajectory World Models for Heterogeneous Environments
Transformers Use Causal World Models in Maze-Solving Tasks
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
Unifying Causal and Object-centric Representation Learning allows Causal Composition
Unifying Unsupervised and Offline RL for Fast Adaptation Using World Models
Utilizing World Models for Adaptively Covariate Acquisition Under Limited Budget for Causal Decision Making Problem
When do neural networks learn world models?
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning