Matteo Turchetta

Safe Model-based Reinforcement Learning with Stability Guarantees

2017 · arXiv (Cornell University)

Reinforcement learning is a powerful paradigm for learning optimal policies from experimental data. However, to find optimal policies, most reinforcement learning algorithms explore all possible actions, which may be harmful for real-world systems. As a …