”ddpg“ 的搜索结果

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

Using Keras and Deep Deterministic Policy Gradient to play TORCS

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

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

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。

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

Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spac...

reinforcement learning ddpg code. follow deepmind papers.

Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

DDPG algorithm for PID tuning

reimplementation of the ddpg algorithm using tensorflow

PyTorch implementation of DDPG for continuous control tasks.

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

V-rep simulation experiment using yolov3 pytorch and DDPG

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO