Towards a Belief-Based World Model for LLM Agents
cs.AI
Submitted: 2026-08-31
Updated: 2026-08-31
Code: https://github.com/skumar-ml/belief-world-models
Project page: https://worldmodels.github.io
Terminology
Sources
- The Llama 3 Herd of Models
- Learning Latent Dynamics for Planning from Pixels
- GAIA-1: A Generative World Model for Autonomous Driving
- Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation
- Belief Memory: Agent Memory Under Partial Observability
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- Debugging code world models
- StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty
- CWM: An Open-Weights LLM for Research on Code Generation with World Models
- Qwen3 Technical Report
- Reinforcement World Model Learning for LLM-based Agents
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
- WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
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