Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Luisa Zintgraf, Leo Feng, Cong Lu +4

To rapidly learn a new task, it is often essential for agents to explore efficiently -- especially when performance matters from the first timestep. One way to learn such behaviour…