All Projects → Deep-Reinforcement-Learning-With-Python → Similar Projects or Alternatives

571 Open source projects that are alternatives of or similar to Deep-Reinforcement-Learning-With-Python

Tianshou
An elegant PyTorch deep reinforcement learning library.
Stars: ✭ 4,109 (+1750.9%)
Mutual labels:  dqn, policy-gradient, ddpg, sac, double-dqn, trpo, ppo, a2c, td3
Paddle-RLBooks
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (-49.1%)
Reinforcement Learning With Tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Stars: ✭ 6,948 (+3029.73%)
ReinforcementLearningZoo.jl
juliareinforcementlearning.org/
Stars: ✭ 46 (-79.28%)
Mutual labels:  dqn, ddpg, sac, c51, ppo, a2c, td3
Deep Reinforcement Learning With Pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+505.86%)
Easy Rl
强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+1253.15%)
Deeprl
Modularized Implementation of Deep RL Algorithms in PyTorch
Stars: ✭ 2,640 (+1089.19%)
Minimalrl
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Stars: ✭ 2,051 (+823.87%)
Mutual labels:  deep-reinforcement-learning, dqn, a3c, ddpg, sac, ppo, a2c
Rainy
☔ Deep RL agents with PyTorch☔
Stars: ✭ 39 (-82.43%)
Mutual labels:  deep-reinforcement-learning, dqn, ddpg, sac, ppo, a2c, td3
ElegantRL
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Stars: ✭ 2,074 (+834.23%)
Mutual labels:  dqn, ddpg, sac, ppo, a2c, td3
rl implementations
No description or website provided.
Stars: ✭ 40 (-81.98%)
Deeprl Tensorflow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Stars: ✭ 319 (+43.69%)
Mutual labels:  deep-reinforcement-learning, dqn, a3c, ddpg, trpo, ppo
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!
Stars: ✭ 173 (-22.07%)
Deep-rl-mxnet
Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
Stars: ✭ 26 (-88.29%)
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)
Stars: ✭ 426 (+91.89%)
LWDRLC
Lightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-93.69%)
Hands On Reinforcement Learning With Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Stars: ✭ 640 (+188.29%)
Explorer
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (-75.68%)
Deep RL with pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Stars: ✭ 160 (-27.93%)
Mutual labels:  deep-reinforcement-learning, dqn, c51, ppo, a2c
Deep-Reinforcement-Learning-Notebooks
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
Stars: ✭ 15 (-93.24%)
Mutual labels:  deep-reinforcement-learning, dqn, a3c, ppo, a2c
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+307.21%)
Pytorch Rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+77.48%)
Deeprl algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Stars: ✭ 97 (-56.31%)
Deep Reinforcement Learning
Repo for the Deep Reinforcement Learning Nanodegree program
Stars: ✭ 4,012 (+1707.21%)
TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Stars: ✭ 160 (-27.93%)
Mutual labels:  openai-gym, dqn, ddpg, sac, ppo
Reinforcement learning tutorial with demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Stars: ✭ 442 (+99.1%)
Reinforcement Learning
Minimal and Clean Reinforcement Learning Examples
Stars: ✭ 2,863 (+1189.64%)
Mushroom Rl
Python library for Reinforcement Learning.
Stars: ✭ 442 (+99.1%)
deep rl acrobot
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
Stars: ✭ 32 (-85.59%)
Pytorch Rl
Deep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+235.59%)
Pytorch Drl
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+4.95%)
Reinforcement learning
Reinforcement learning tutorials
Stars: ✭ 82 (-63.06%)
Mutual labels:  dqn, policy-gradient, a3c, ppo
Deep Rl Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Stars: ✭ 395 (+77.93%)
Mutual labels:  dqn, policy-gradient, a3c, ddpg
yarll
Combining deep learning and reinforcement learning.
Stars: ✭ 84 (-62.16%)
Torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Stars: ✭ 90 (-59.46%)
Mutual labels:  dqn, ddpg, trpo, ppo
Machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Stars: ✭ 145 (-34.68%)
Mutual labels:  dqn, a3c, ddpg, ppo
Pytorch A2c Ppo Acktr Gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Stars: ✭ 2,632 (+1085.59%)
Openai lab
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+40.99%)
Reinforcement Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+1399.55%)
Mutual labels:  deep-reinforcement-learning, dqn, ppo, a2c
Lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+63.96%)
Run Skeleton Run
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Stars: ✭ 83 (-62.61%)
Mutual labels:  ddpg, actor-critic, trpo, ppo
Deep reinforcement learning course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stars: ✭ 3,232 (+1355.86%)
Reinforcement Learning Kr
[파이썬과 케라스로 배우는 강화학습] 예제
Stars: ✭ 282 (+27.03%)
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-68.47%)
Btgym
Scalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+244.59%)
Hands On Intelligent Agents With Openai Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Stars: ✭ 189 (-14.86%)
jax-rl
JAX implementations of core Deep RL algorithms
Stars: ✭ 61 (-72.52%)
Autonomous Learning Library
A PyTorch library for building deep reinforcement learning agents.
Stars: ✭ 425 (+91.44%)
Mutual labels:  deep-reinforcement-learning, dqn, ddpg, ppo
Reinforcementlearning Atarigame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Stars: ✭ 118 (-46.85%)
Rl a3c pytorch
A3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (+117.12%)
Pytorch Rl
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Stars: ✭ 658 (+196.4%)
reinforcement learning with Tensorflow
Minimal implementations of reinforcement learning algorithms by Tensorflow
Stars: ✭ 28 (-87.39%)
Mutual labels:  dqn, a3c, ddpg, actor-critic
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.
Stars: ✭ 518 (+133.33%)
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.
Stars: ✭ 167 (-24.77%)
Mutual labels:  deep-reinforcement-learning, dqn, ddpg, ppo
model-free-algorithms
TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
Stars: ✭ 56 (-74.77%)
Mutual labels:  ddpg, sac, ppo, td3
Tensorflow Rl
Implementations of deep RL papers and random experimentation
Stars: ✭ 176 (-20.72%)
Mutual labels:  openai-gym, dqn, a3c, trpo
imitation learning
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Stars: ✭ 93 (-58.11%)
Elegantrl
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
Stars: ✭ 575 (+159.01%)
Mutual labels:  deep-reinforcement-learning, dqn, ddpg, ppo
Pytorch A3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+295.95%)
1-60 of 571 similar projects