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强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Created
2020-07-03
1,194 commits to master branch, last one 13 days ago
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
a3c
dqn
ppo
ddpg
sarsa
tutorial
double-dqn
q-learning
dueling-dqn
actor-critic
sarsa-lambda
deep-q-network
policy-gradient
machine-learning
prioritized-replay
tensorflow-tutorials
reinforcement-learning
proximal-policy-optimization
deep-deterministic-policy-gradient
asynchronous-advantage-actor-critic
Created
2017-05-06
114 commits to master branch, last one 2 years ago
An elegant PyTorch deep reinforcement learning library.
Created
2018-04-16
838 commits to master branch, last one 25 days ago
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Created
2019-06-07
832 commits to master branch, last one 6 days ago
Repo for the Deep Reinforcement Learning Nanodegree program
Created
2018-07-06
24 commits to master branch, last one 2 years ago
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Created
2018-08-28
146 commits to master branch, last one 4 years ago
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Created
2018-06-09
4 commits to master branch, last one 4 years ago
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Created
2018-03-25
166 commits to master branch, last one about a year ago
Massively Parallel Deep Reinforcement Learning. 🔥
Created
2019-07-12
2,832 commits to master branch, last one 10 hours ago
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Created
2017-08-22
274 commits to master branch, last one 2 years ago
Modularized Implementation of Deep RL Algorithms in PyTorch
Created
2017-04-20
480 commits to master branch, last one 7 months ago
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Created
2019-04-23
91 commits to master branch, last one about a year ago
For trading. Please star.
Created
2020-07-26
199 commits to master branch, last one 4 months ago
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Created
2018-09-27
98 commits to master branch, last one 11 months ago
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Created
2021-11-14
104 commits to main branch, last one 29 days ago
This is the official implementation of Multi-Agent PPO (MAPPO).
Created
2021-02-23
130 commits to main branch, last one 4 months ago
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Created
2017-10-02
2,569 commits to master branch, last one 2 years ago
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Created
2017-10-17
100 commits to master branch, last one 3 years ago
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Created
2019-10-02
9 commits to master branch, last one 3 years ago
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c
gae
ppo
python3
pytorch
rainbow
double-dqn
dueling-dqn
actor-critic
deep-q-network
noisy-networks
categorical-dqn
deeprl-tutorials
multi-step-learning
quantile-regression
advantage-actor-critic
reinforcement-learning
deep-recurrent-q-network
deep-reinforcement-learning
prioritized-experience-replay
Created
2018-05-31
88 commits to master branch, last one 5 years ago
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
ppo
drqn
trpo
sarsa
double-dqn
openai-gym
q-learning
dueling-dqn
monte-carlo
deep-q-network
policy-gradient
policy-gradients
reinforcement-learning
deep-learning-algorithms
deep-recurrent-q-network
markov-decision-processes
deep-reinforcement-learning
hindsight-experience-replay
deep-deterministic-policy-gradient
asynchronous-advantage-actor-critic
Created
2018-06-11
44 commits to master branch, last one 4 years ago
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Created
2020-09-04
49 commits to master branch, last one about a month ago
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
Created
2023-12-03
171 commits to main branch, last one a day ago
Really Fast End-to-End Jax RL Implementations
Created
2023-02-25
35 commits to main branch, last one 2 months ago
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.
Created
2019-04-07
995 commits to master branch, last one 3 years ago
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 st...
Created
2018-01-13
25 commits to master branch, last one 3 years ago
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Created
2018-04-11
497 commits to master branch, last one about a year ago
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Created
2023-05-21
1,285 commits to master branch, last one 2 days ago
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 8 months ago
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Created
2020-03-09
96 commits to master branch, last one 4 years ago