Pytorch Ddpg Naf
Implementation of algorithms for continuous control (DDPG and NAF).
An elegant PyTorch deep reinforcement learning library.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Modularized Implementation of Deep RL Algorithms in PyTorch
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.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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.
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
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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)
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Simple Reinforcement Learning Framework
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
a unified environment for supervised learning and reinforcement learning in the context of quantitative trading
Lightweight deep RL Libraray for continuous control.
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
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
Code for NIPS 2017 learning to run challenge
☔ Deep RL agents with PyTorch☔
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library