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The Top 165 Python Policy Gradient Open Source Projects

Categories > Machine Learning > Policy Gradient
Reinforcement Learning With Tensorflow ⭐ 7,469
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
most recent commit 19 days ago
Tianshou ⭐ 4,948
An elegant PyTorch deep reinforcement learning library.
dependent packages 4total releases 28most recent commit 6 days agopypi tianshou} Downloads
Reinforcement Learning ⭐ 2,923
Minimal and Clean Reinforcement Learning Examples
most recent commit 5 months ago
Deep Reinforcement Learning With Pytorch ⭐ 1,985
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
most recent commit 6 months ago
Minimalrl ⭐ 1,944
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
most recent commit a year ago
Seqgan ⭐ 1,801
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
most recent commit 3 years ago
Slm Lab ⭐ 1,052
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
most recent commit 4 months ago
Btgym ⭐ 825
Scalable, event-driven, deep-learning-friendly backtesting library
most recent commit a year ago
Pytorch Rl ⭐ 638
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
most recent commit 2 years ago
Stock_market_reinforcement_learning ⭐ 630
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
most recent commit 6 years ago
Rlseq2seq ⭐ 610
Deep Reinforcement Learning For Sequence to Sequence Models
most recent commit 3 years ago
Ddpg Keras Torcs ⭐ 595
Using Keras and Deep Deterministic Policy Gradient to play TORCS
most recent commit 5 years ago
Ppo Pytorch ⭐ 592
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
most recent commit 7 months ago
Tensorflow Reinforce ⭐ 477
Implementations of Reinforcement Learning Models in Tensorflow
most recent commit 5 years ago
Deer ⭐ 467
DEEp Reinforcement learning framework
total releases 12most recent commit 5 months ago
Awesome Monte Carlo Tree Search Papers ⭐ 460
A curated list of Monte Carlo tree search papers with implementations.
most recent commit 5 months ago
Seqgan ⭐ 441
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
most recent commit 4 years ago
Rl_algorithms ⭐ 422
Structural implementation of RL key algorithms
most recent commit 8 months ago
Lagom ⭐ 365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
most recent commit 2 years ago
Pytorch Rl ⭐ 356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
total releases 2most recent commit 3 years ago
Ml Compiler Opt ⭐ 334
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
most recent commit a day ago
Openai_lab ⭐ 314
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
most recent commit 5 years ago
Reinforcement Learning Kr ⭐ 238
[파이썬과 케라스로 배우는 강화학습] 예제
most recent commit 2 years ago
Pytorch Maddpg ⭐ 231
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
most recent commit 4 years ago
Handyrl ⭐ 226
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
most recent commit 2 months ago
Reinforcementzerotoall ⭐ 221
most recent commit 4 years ago
Pytorch Ddpg ⭐ 207
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
most recent commit 4 years ago
Seqgan Pytorch ⭐ 178
A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.
most recent commit 3 years ago
Phasic Policy Gradient ⭐ 175
Code for the paper "Phasic Policy Gradient"
most recent commit 7 months ago
A2c ⭐ 159
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
most recent commit 4 years ago
Reinforcement_learning ⭐ 155
Reinforcement learning tutorials
most recent commit 6 months ago
Question Generation ⭐ 148
Neural text-to-text question generation
most recent commit 2 years ago
Show Adapt And Tell ⭐ 142
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
most recent commit 4 years ago
Openai Cartpole ⭐ 129
random search, hill climbing, policy gradient
most recent commit 4 years ago
Deeprl_algorithms ⭐ 112
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
most recent commit a year ago
Paddle Rlbooks ⭐ 108
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
most recent commit 9 months ago
Torchrl ⭐ 107
Highly Modular and Scalable Reinforcement Learning
most recent commit 3 years ago
Mlds2018spring ⭐ 106
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
most recent commit 3 years ago
Reinforcement Learning ⭐ 95
🤖 Implements of Reinforcement Learning algorithms.
most recent commit 4 years ago
Reinforcement_learning ⭐ 89
강화학습에 대한 기본적인 알고리즘 구현
most recent commit 4 years ago
Openai Gym Policy Gradient ⭐ 88
Reinforcement Learning using Policy Gradient to solve OpenAI Gym games
most recent commit 5 years ago
Yarll ⭐ 84
Combining deep learning and reinforcement learning.
total releases 12most recent commit 10 months ago
Sqddpg ⭐ 84
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
most recent commit 5 months ago
Imitation_learning ⭐ 56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
most recent commit 9 months ago
Explorer ⭐ 53
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
most recent commit 2 months ago
Fruit Api ⭐ 50
A Universal Deep Reinforcement Learning Framework
most recent commit a year ago
Cst_captioning ⭐ 48
PyTorch Implementation of Consensus-based Sequence Training for Video Captioning
most recent commit 4 years ago
Reinforcementlearning ⭐ 48
Reinforcing Your Learning of Reinforcement Learning
most recent commit 3 years ago
Photo Editing Tensorflow ⭐ 47
Photo Optimizing Adversarial Net with Policy Gradient Method
most recent commit 4 years ago
Pytorch Learn Reinforcement Learning ⭐ 42
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
most recent commit a year ago
Tensorflow Rl Pong ⭐ 41
Pong AI trained using policy gradient-based reinforcement learning
most recent commit 5 years ago
On The Fly Fgsbir ⭐ 30
[CVPR 2020, Oral] "Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. .
most recent commit a year ago
Deep_rl_acrobot ⭐ 30
TensorFlow A2C to solve Acrobot, with synchronized parallel environments
most recent commit 4 years ago
Optimization_of_image_description_metrics_using_policy_gradient_methods ⭐ 29
Tensorflow implement of paper: Optimization of image description metrics using policy gradient methods
most recent commit 4 years ago
Connect4 ⭐ 29
Solving board games like Connect4 using Deep Reinforcement Learning
most recent commit 5 months ago
Sinkhorn Policy Gradient.pytorch ⭐ 29
Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
most recent commit 4 years ago
Lirpg ⭐ 29
most recent commit 4 years ago
Rl Implementation Impala ⭐ 28
A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
most recent commit 4 years ago
Policy Gradient Pong ⭐ 27
tensorflow implementation of Andrej Karpathy's blog about reinforcement learning. http://karpathy.github.io/2016/05/31/rl/
most recent commit 2 years ago
Tic Tac Toe ⭐ 23
Train agents to play Tic-Tac-Toe using Policy Gradient
most recent commit 3 years ago
Deep Reinforcement Learning ⭐ 23
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
most recent commit 3 years ago
Rl ⭐ 22
A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
most recent commit 6 months ago
Ddpg Pytorch ⭐ 21
Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite
most recent commit 4 years ago
Policy Gradient Importance Sampling ⭐ 20
Policy gradient reinforcement learning algorithm with importance sampling
most recent commit 5 years ago
Parl Sample ⭐ 20
Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)
most recent commit 3 years ago
Interpolated Policy Gradient With Ppo For Robotics Control ⭐ 20
Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gradient and Hindsight Experience Replay (HER)
most recent commit 4 years ago
Stock_market_reinforcement_learning ⭐ 19
most recent commit 5 years ago
Pytorch Rdpg ⭐ 18
PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)
most recent commit 3 years ago
Rpg ⭐ 18
Ranking Policy Gradient
most recent commit 3 years ago
Deep Reinforcement Learning Cs285 Pytorch ⭐ 17
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
most recent commit 2 years ago
Rlans ⭐ 17
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient
most recent commit 3 years ago
Deep Rl Mxnet ⭐ 16
Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO
most recent commit 2 years ago
Taa Pg ⭐ 15
Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
most recent commit 3 years ago
Policy Gradient Methods ⭐ 15
Modular PyTorch implementation of policy gradient methods
most recent commit 4 years ago
Sources Of Reinforcement Learning ⭐ 15
All the source codes and lectures of reinforcement learning.
most recent commit 2 years ago
Seqgan Tensorflow ⭐ 15
SeqGAN implementation with Tensorflow
most recent commit 5 years ago
Emotional_dialogue ⭐ 15
A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.
most recent commit 4 years ago
Reinforcement Learning ⭐ 14
most recent commit 4 years ago
Lwdrlc ⭐ 13
Lightweight deep RL Libraray for continuous control.
most recent commit 5 months ago
Pg_rnn ⭐ 13
There are few caveats when you want to use a Recurrent Neural Network (RNN) policy with Policy Gradient Algorithms. This repository explains them and provide a solution for them. Please see the blog for more details.
most recent commit 5 years ago
Actor Critic Pytorch ⭐ 12
Policy Gradient Actor-Critic PyTorch | Lunar Lander v2
most recent commit 3 years ago
Tensorl ⭐ 12
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
most recent commit 2 years ago
Deep Rl Torcs ⭐ 12
Autonomous Navigation using Deep Reinforcement Learning
most recent commit 5 years ago
Neural Architecture Search ⭐ 11
Re-implementation of Neural Architecture Search using Reinforcement Learning
most recent commit 4 years ago
Policy_gradient_etf_portfolio_manager ⭐ 11
ETF Portfolio Manager using Policy Gradient (Reinforcement Learning)
most recent commit 4 years ago
Rl Botics ⭐ 10
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
most recent commit 3 years ago
Rl_webots ⭐ 10
Webots project to show how to use Deep Reinforcement Learning with Webots in C++.
most recent commit 2 years ago
Pacman Rl ⭐ 9
Implement some reinforcement learning algorithms, test and visualize on Pacman.
most recent commit 4 years ago
Ddpg_numpy_only ⭐ 9
Implemenation of DDPG with numpy only (without Tensorflow)
most recent commit 4 years ago
Deep Bayesian Quadrature Policy Optimization ⭐ 9
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
most recent commit a year ago
Pong With Policy Gradients ⭐ 9
Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/
most recent commit 2 years ago
Ct_keras_pong ⭐ 9
An AI that plays Atari 2600 Pong. Trained with reinforcement learning using OpenAI Gym and Keras
most recent commit 4 years ago
Policygradient_ponggame ⭐ 9
Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow
most recent commit 4 years ago
Deep Learning In Catalyst ⭐ 8
Using deep learning and reinforcement learning in a Enigma Catalyst algorithm.
most recent commit 3 years ago
Ppo Tensorflow 2.0 ⭐ 8
Proximal Policy Optimization with Tensorflow 2.0
most recent commit 3 years ago
Reinforcement Learning ⭐ 8
Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch
most recent commit 9 months ago
Deep Reinforcement Learning With Pytorch ⭐ 8
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
most recent commit a year ago
Seqgan Pytorch ⭐ 8
An optimized version of SeqGAN in pytorch
most recent commit 4 years ago
Adl19 Hw3 ⭐ 7
ADL19 homework3 repository
most recent commit 3 years ago
Rl Recsys ⭐ 7
RL Recommendation System
most recent commit 3 years ago
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