Popular GitHub Repositories for Deep Deterministic Policy Gradient

Implementation of algorithms for continuous control (DDPG and NAF).

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment

Deep Deterministic Policy Gradient (DDPG)?is a model-free off-policy algorithm for learning continuous actions. It is a reinforcement learning technique that combines ideas from DPG (Deterministic Policy Gradient) and DQN (Deep Q-Network). From DQN, it uses Experience Replay and Slow-learning target networks. From DPG, it incorporates Operating over continuous action spaces.

Pytorch implementation of Deep Deterministic Policy Gradients (DDPG)

Code and Report relating to the Advanced Reinforcement Learning University Unit

在Isaac Gym的倒立摆环境中，对强化学习算法（DQN、DDPG和PPO）进行了最小化实现。

? Utilizing a Deep Deterministic Policy Gradient algorithm to train robotic simulations in continuous action space

Torce self-driving

Solve the Inverted Pendulum Control problem using Deep Deterministic Policy Gradient model