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An elegant PyTorch deep reinforcement learning library.
Created
2018-04-16
838 commits to master branch, last one 27 days 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
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
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
Python library for Reinforcement Learning.
Created
2017-02-25
1,990 commits to dev branch, last one about a month ago
Deep Reinforcement Learning with pytorch & visdom
Created
2017-04-10
85 commits to master branch, last one 6 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
🐋 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
🔥🌟《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!
Created
2020-04-02
130 commits to master branch, last one about a year 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
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Created
2019-07-30
24 commits to master branch, last one 3 years ago
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Created
2018-12-22
239 commits to master branch, last one 2 years ago
🚀 A fast safe reinforcement learning library in PyTorch
Created
2023-05-07
15 commits to main branch, last one about a month 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
High-quality implementations of deep reinforcement learning algorithms for experiments
Created
2018-03-12
82 commits to master branch, last one 3 years ago
PyTorch implementation of Constrained Policy Optimization
Created
2021-10-19
10 commits to master branch, last one 3 years ago
road-map & paper review for Reinforcement Learning
Created
2020-06-24
149 commits to master branch, last one 3 years ago
Reinforcement Learning for quadrotor trajectory planning and control
Created
2023-05-21
14 commits to master branch, last one about a year ago
Code snippets of Meta Reinforcement Learning algorithms
Created
2022-07-09
25 commits to main branch, last one about a year ago