Top 61 ddpg open source projects

Pytorch Ddpg Naf
Implementation of algorithms for continuous control (DDPG and NAF).
Train Robot Arm From Scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
Pytorch Drl
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Rlcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Deep Reinforcement Learning Algorithms
31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Hindsight Experience Replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Deep Reinforcement Learning In Large Discrete Action Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
Torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Policy Gradient Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Elegantrl
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Deep Reinforcement Learning For Automated Stock Trading Ensemble Strategy Icaif 2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Autonomous Learning Library
A PyTorch library for building deep reinforcement learning agents.
Reinforcement Learning Algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Deep Rl Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Deeprl Tensorflow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Openai lab
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Pytorch Ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Easy Rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
wolpertinger ddpg
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
Deep-rl-mxnet
Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
deep-rl-quadcopter
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
model-free-algorithms
TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
trading gym
a unified environment for supervised learning and reinforcement learning in the context of quantitative trading
ddpg biped
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
pytorch-gym
Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch
deep rl acrobot
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers
nips rl
Code for NIPS 2017 learning to run challenge
UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
mujoco-benchmark
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
1-60 of 61 ddpg projects