Deep Deterministic Policy Gradients

Published

Sep 9, 2015

Deep Deterministic Policy Gradients is an AI model developed by Google DeepMind (United States), first published in September 2015. It works in the robotics domain, on tasks such as robotic manipulation and self-driving car.

Epoch AI has no training-compute estimate for this model.

The reference paper has 15,374 citations.

Full record

Organization: Google DeepMind
Country of organization: United States
Domain: Robotics
Task: Robotic manipulation, Self-driving car
Citations: 15,374