Learning Interactive World Model for Object-Centric Reinforcement Learning
–Neural Information Processing Systems
Agents that understand objects and their interactions can learn policies that are more robust and transferable.
Neural Information Processing Systems
Jun-19-2026, 03:16:39 GMT
- Genre:
- Research Report > Experimental Study (1.00)
- Industry:
- Information Technology (0.93)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Cognitive Science (1.00)
- Vision (0.93)
- Natural Language > Large Language Model (0.68)
- Representation & Reasoning > Object-Oriented Architecture (0.67)
- Machine Learning
- Reinforcement Learning (1.00)
- Neural Networks > Deep Learning (0.46)
- Learning Graphical Models > Undirected Networks
- Markov Models (0.46)
- Information Technology > Artificial Intelligence