2023
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
IJCAI 2023poster
Robotic agents trained using reinforcement learning have the problem of taking unreliable actions in an out-of-distribution (OOD) state. Agents can easily become OOD in real-world environments because it is almost impossible for them to visit and learn the entire state space during training. Unfortu…