Discovering Options for Exploration by Minimizing Cover Time

2 Mar 2019 Yuu Jinnai Jee Won Park David Abel George Konidaris

One of the main challenges in reinforcement learning is solving tasks with sparse reward. We show that the difficulty of discovering a distant rewarding state in an MDP is bounded by the expected cover time of a random walk over the graph induced by the MDP's transition dynamics... (read more)

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