Safe Reinforcement Learning via Shielding under Partial Observability

Steven Carr, Nils Jansen, Sebastian Junges +1

Safe exploration is a common problem in reinforcement learning (RL) that aims to prevent agents from making disastrous decisions while exploring their environment. A family of appr…