Hands-On Intelligent Agents with OpenAI Gym

Deep Deterministic Policy Gradients

Deep Deterministic Policy Gradient (DDPG) is an off-policy, model-free, actor-critic algorithm and is based on the Deterministic Policy Gradient (DPG) theorem (proceedings.mlr.press/v32/silver14.pdf). Unlike the deep Q-learning-based methods, actor-critic policy gradient-based methods are easily applicable to continuous action spaces, in addition to problems/tasks with discrete action spaces.