ddpg
There are 412 repositories under ddpg topic.
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
datawhalechina/easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
XinJingHao/Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
MushroomRL/mushroom-rl
Python library for Reinforcement Learning.
TianhongDai/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)
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
Rafael1s/Deep-Reinforcement-Learning-Algorithms
32 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.
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
ghliu/pytorch-ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
germain-hug/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
agi-brain/xuance
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
dongminlee94/deep_rl
PyTorch implementation of deep reinforcement learning algorithms
navneet-nmk/pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
iffiX/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
TianhongDai/hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
Skylark0924/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!
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
MorvanZhou/train-robot-arm-from-scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
kengz/openai_lab
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
ikostrikov/pytorch-ddpg-naf
Implementation of algorithms for continuous control (DDPG and NAF).
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
davidtw0320/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
anita-hu/TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
RchalYang/torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
m5823779/motion-planner-reinforcement-learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
shivaverma/OpenAIGym
Solving OpenAI Gym problems.
jimkon/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym