Exploration in Continuous Control Tasks via Continually Parameterized Skills.

Applications of reinforcement learning to continuous control tasks often rely on a steady, informative reward signal. In videogames, however, tasks may be far easier to specify through a binary reward that indicates success or failure. In the absence of a steady, guiding reward, the agent may struggle to explore efficiently, especially if effective exploration requires strong coordination between ...