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An elegant PyTorch deep reinforcement learning library.
Created
2018-04-16
842 commits to master branch, last one 11 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 about a month 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
2,833 commits to master branch, last one about a month 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 3 years ago
Modularized Implementation of Deep RL Algorithms in PyTorch
Created
2017-04-20
480 commits to master branch, last one 8 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
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
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
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
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Created
2023-05-21
1,462 commits to master branch, last one 24 hours 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
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 9 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
PyTorch implementation of deep reinforcement learning algorithms
Created
2019-09-17
366 commits to main branch, last one 3 years ago
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Created
2020-10-02
23 commits to master branch, last one 3 years ago
Reinforcement learning tutorials
Created
2020-01-13
84 commits to master branch, last one 2 years ago
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Created
2018-12-30
392 commits to master branch, last one 10 months ago
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Created
2019-02-04
80 commits to master branch, last one about a year ago
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
Created
2019-01-19
8 commits to master branch, last one 3 years ago
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Created
2019-04-07
25 commits to master branch, last one 2 years ago
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Created
2020-05-04
89 commits to master branch, last one 3 years ago
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
Created
2020-09-19
87 commits to master branch, last one 3 years ago
Adversarial attacks on Deep Reinforcement Learning (RL)
Created
2020-06-17
115 commits to master branch, last one 3 years ago
The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, SAC, and support for both TensorFlow and PyTorch.
Created
2019-08-01
70 commits to torch branch, last one 7 months ago
High-quality implementations of deep reinforcement learning algorithms for experiments
Created
2018-03-12
82 commits to master branch, last one 3 years ago