Co-occurring keywords · papers mentioning both
Papers
Aether: Geometric-Aware Unified World Modeling
ICCV 2025
An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning
COLING 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CVPR 2025
CoEx – Co-evolving World-model and Exploration
EMNLP 2025
Continual Reinforcement Learning by Planning with Online World Models
ICML 2025
DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue
EMNLP 2025
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
ACL 2025
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
CVPR 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
ICCV 2025
DiWA: Diffusion Policy Adaptation with World Models
CoRL 2025
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
ACL 2025
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
ICLR 2025
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
EMNLP 2025
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
ICLR 2025
Dreamweaver: Learning Compositional World Models from Pixels
ICLR 2025
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
AAAI 2025
DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
CVPR 2025
DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
ICCV 2025
DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
ICCV 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
AAAI 2025
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
CVPR 2025
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
ICLR 2025
Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning
EMNLP 2025
EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
ICLR 2025
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
ICLR 2025