Weighted model estimation for offline model-based reinforcement learning
–Neural Information Processing Systems
This paper discusses model estimation in offline model-based reinforcement learning (MBRL), which is important for subsequent policy improvement using an estimated model.
Neural Information Processing Systems
Aug-22-2025, 00:43:57 GMT
- Country:
- Asia > Japan
- Honshū > Kansai > Kyoto Prefecture > Kyoto (0.04)
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America > United States
- Massachusetts > Hampshire County > Amherst (0.04)
- Asia > Japan
- Genre:
- Research Report (0.88)
- Technology: