All Projects → Policy Gradient → Similar Projects or Alternatives

769 Open source projects that are alternatives of or similar to Policy Gradient

Reinforcement Learning
Minimal and Clean Reinforcement Learning Examples
Stars: ✭ 2,863 (+2020.74%)
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 (+227.41%)
Pytorch Rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+191.85%)
Btgym
Scalable, event-driven, deep-learning-friendly backtesting library
Stars: ✭ 765 (+466.67%)
Tensorflow Reinforce
Implementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+255.56%)
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+569.63%)
Openai lab
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (+131.85%)
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 (+387.41%)
Lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+169.63%)
Torchrl
Highly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-24.44%)
Hands On Reinforcement Learning With Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Stars: ✭ 640 (+374.07%)
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 (+2125.19%)
Pytorch Rl
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Stars: ✭ 121 (-10.37%)
Deeprl Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (+454.07%)
Osim Rl
Reinforcement learning environments with musculoskeletal models
Stars: ✭ 763 (+465.19%)
Deep reinforcement learning
Resources, papers, tutorials
Stars: ✭ 119 (-11.85%)
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 (-12.59%)
Paac.pytorch
Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862
Stars: ✭ 22 (-83.7%)
Rl algos
Reinforcement Learning Algorithms
Stars: ✭ 14 (-89.63%)
Awesome Deep Rl
For deep RL and the future of AI.
Stars: ✭ 985 (+629.63%)
Parl Sample
Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)
Stars: ✭ 37 (-72.59%)
Hierarchical Actor Critic Hac Pytorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Stars: ✭ 116 (-14.07%)
Async Deeprl
Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-67.41%)
Pytorch A3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Stars: ✭ 879 (+551.11%)
Deepbootcamp
Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
Stars: ✭ 39 (-71.11%)
Ml In Tf
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-66.67%)
Max
Code for reproducing experiments in Model-Based Active Exploration, ICML 2019
Stars: ✭ 61 (-54.81%)
Tensorflow Tutorial
TensorFlow and Deep Learning Tutorials
Stars: ✭ 748 (+454.07%)
Pytorch Rl
Deep Reinforcement Learning with pytorch & visdom
Stars: ✭ 745 (+451.85%)
Reinforcement Learning With Tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Stars: ✭ 6,948 (+5046.67%)
Pysc2 Examples
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Stars: ✭ 722 (+434.81%)
Pygame Learning Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Stars: ✭ 828 (+513.33%)
Trax
Trax — Deep Learning with Clear Code and Speed
Stars: ✭ 6,666 (+4837.78%)
Rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Stars: ✭ 980 (+625.93%)
Left Shift
Using deep reinforcement learning to tackle the game 2048.
Stars: ✭ 35 (-74.07%)
Deepqlearning.jl
Implementation of the Deep Q-learning algorithm to solve MDPs
Stars: ✭ 38 (-71.85%)
Drlkit
A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Stars: ✭ 29 (-78.52%)
Deterministic Gail Pytorch
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-67.41%)
Deep Q Learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Stars: ✭ 1,013 (+650.37%)
Mujocounity
Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
Stars: ✭ 47 (-65.19%)
Softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Stars: ✭ 713 (+428.15%)
Muzero General
MuZero
Stars: ✭ 1,187 (+779.26%)
Treeqn
Stars: ✭ 77 (-42.96%)
Torch Ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-48.15%)
Snake
Artificial intelligence for the Snake game.
Stars: ✭ 1,241 (+819.26%)
Rlenv.directory
Explore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (-41.48%)
Rl Quadcopter
Teach a Quadcopter How to Fly!
Stars: ✭ 124 (-8.15%)
Cs234
My Solution to Assignments of CS234
Stars: ✭ 91 (-32.59%)
Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+7097.78%)
Mlds2018spring
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-8.15%)
Cs234 Reinforcement Learning Winter 2019
My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
Stars: ✭ 93 (-31.11%)
1 Year Machinelearning Journey
An advanced program in Machine Learning and Deep Learning
Stars: ✭ 69 (-48.89%)
Reinforcement learning
Reinforcement learning tutorials
Stars: ✭ 82 (-39.26%)
Pytorch sac ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-30.37%)
Rl Medical
Deep Reinforcement Learning (DRL) agents applied to medical images
Stars: ✭ 123 (-8.89%)
Samsung Drl Code
Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Stars: ✭ 99 (-26.67%)
Deep Reinforcement Learning With Pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Stars: ✭ 1,345 (+896.3%)
Reinforcement learning
강화학습에 대한 기본적인 알고리즘 구현
Stars: ✭ 100 (-25.93%)
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 (-28.15%)
1-60 of 769 similar projects