Ongoing Project by Robin Schiewer: Efficient Exploration Strategies in Reinforcement Learning
One of the main problems in reinforcement learning is to achieve sufficient exploration of the agent's environment. If there is no knowledge about all the reward that is to gather, an optimal decision can hardly be made. However, not leveraging what has been learned so far may slow down the learning progress or make it unstable.