Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning

no code implementations • 9 Nov 2021 • Stefan Radic Webster, Peter Flach

Identifying uncertainty and taking mitigating actions is crucial for safe and trustworthy reinforcement learning agents, especially when deployed in high-risk environments.

Model-based Reinforcement Learning reinforcement-learning +1