Unlock the secrets of DDPG in Reinforcement Learning

A simple step-by-step explanation of Deep Deterministic Policy Gradient(DDPG) in RL

How would you train a robotic arm to grasp objects or for locomotion which is a continuous control problem with continuous states and continuous actions?

What is a continuous control problem in RL?

A continuous control problem in RL is where an agent needs to take actions from a continuous action space is much more complex than the discrete action spaces.

In discrete action spaces, the agent has a limited number of actions to select; however, in the case of continuous control problems, the agent has to select from a much larger and often infinite number of actions making the optimal action selection a complex problem.

Examples of continuous control problems are

• Robotics,
• Autonomous Driving, and
• Finance.

What are the RL algorithms that solve continuous control problems?

The RL algorithms to solve the continuous control problems are popularly based on policy gradients where the agent learns a policy that maps states to actions directly like

• Deep Deterministic…