Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance

Jakob Hollenstein, Sayantan Auddy, Matteo Saveriano +2

Many Deep Reinforcement Learning (D-RL) algorithms rely on simple forms of exploration such as the additive action noise often used in continuous control domains. Typically, the sc…