Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
–Neural Information Processing Systems
This work lays the information theoretic foundation for COMRL methods, leading to a better understanding of task representation learning in the context of reinforcement learning.
Neural Information Processing Systems
Nov-19-2025, 20:27:59 GMT
- Country:
- Asia > China
- Hong Kong (0.04)
- North America > United States
- New York > Suffolk County > Stony Brook (0.04)
- Asia > China
- Genre:
- Research Report > Experimental Study (0.93)
- Industry:
- Information Technology (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Reinforcement Learning (1.00)
- Natural Language (1.00)
- Representation & Reasoning (1.00)
- Robots (1.00)
- Information Technology > Artificial Intelligence