Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
–Neural Information Processing Systems
This can lead to RL agents encoding these misleading correlations in their latent representation, preventing the agent from generalising if the correlation changes within the environment or when deployed in the real world.
Neural Information Processing Systems
Oct-9-2025, 12:44:23 GMT
- Country:
- Asia > Japan
- Honshū > Tōhoku > Iwate Prefecture > Morioka (0.05)
- Europe
- Finland (0.04)
- Netherlands > North Holland
- Amsterdam (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- North America > United States
- Wisconsin > Dane County > Madison (0.04)
- Asia > Japan
- Genre:
- Research Report (0.47)
- Industry:
- Education > Educational Setting > Continuing Education (0.46)
- Technology: