Alternatives and similar repositories for Udacity-DeepRL-PPO:

Users that are interested in Udacity-DeepRL-PPO are comparing it to the libraries listed below

• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆46Updated 4 years ago
• soumik12345 / DDPG
  Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
  ☆26Updated 2 years ago
• shakti365 / soft-actor-critic
  TF2 Implementation of the Soft Actor-Critic Algorithm
  ☆45Updated 2 years ago
• cyoon1729 / distributedRL
  A framework for easy prototyping of distributed reinforcement learning algorithms
  ☆95Updated 4 years ago
• Deepest-Project / WorldModels-A3C
  World Models with A3C on Carracing-v0 in gym
  ☆33Updated 4 years ago
• xuwd11 / cs294-112_hws
  My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning
  ☆91Updated 6 years ago
• lnpalmer / A2C
  PyTorch implementation of Advantage Actor-Critic (A2C)
  ☆45Updated 7 years ago
• intel / cerl
  ☆73Updated 2 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 3 years ago
• RchalYang / torchrl
  Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
  ☆218Updated 2 years ago
• Feryal / automated-curriculum-rl
  ☆31Updated 6 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆103Updated last year
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆51Updated 7 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆93Updated 2 years ago
• xuanlinli17 / CS285_Fa19_Deep_Reinforcement_Learning
  My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
  ☆117Updated 2 years ago
• valeoai / rainbow-iqn-apex
  Distributed Rainbow-IQN for Atari
  ☆77Updated 5 years ago
• Anjum48 / rl-examples
  Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
  ☆102Updated 4 years ago
• Huixxi / TensorFlow2.0-for-Deep-Reinforcement-Learning
  TensorFlow 2.0 for Deep Reinforcement Learning.
  ☆85Updated last year
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆113Updated 5 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 4 years ago
• mtrazzi / meta_rl
  The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
  ☆37Updated 5 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆134Updated 2 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆37Updated 5 years ago
• Sohojoe / ppo-dash
  PPO Dash: Improving Generalization in Deep Reinforcement Learning
  ☆16Updated 5 years ago
• kashif / firedup
  Clone of OpenAI's Spinning Up in PyTorch
  ☆147Updated 2 years ago
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆18Updated 4 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆93Updated 4 years ago
• createamind / DRL
  ☆92Updated 4 years ago
• johannah / bootstrap_dqn
  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE
  ☆55Updated this week