Alternatives and similar repositories for PPO

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

• liampetti / DDPG
  Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…
  ☆64Updated 8 years ago
• alexis-jacq / Pytorch-DPPO
  Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
  ☆183Updated 7 years ago
• takuseno / ppo
  Proximal Policy Optimization implementation with TensorFlow
  ☆107Updated 6 years ago
• sjchoi86 / irl_rocks
  Cool Inverse Reinforcement Learning Papers
  ☆124Updated 8 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 8 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• go2sea / DQfD
  An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…
  ☆132Updated 7 years ago
• tesslerc / H-DRLN
  Hierarchical Deep RL Network
  ☆31Updated 8 years ago
• vkurenkov / hierarchical-skill-acquisition
  Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong…
  ☆11Updated 7 years ago
• mrkulk / hierarchical-deep-RL
  Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
  ☆87Updated 7 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆50Updated 5 years ago
• ermongroup / multiagent-gail
  ☆83Updated 6 years ago
• ahq1993 / inverse_rl
  Adversarial Imitation Via Variational Inverse Reinforcement Learning
  ☆95Updated 5 years ago
• davidhershey / feudal_networks
  An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161
  ☆183Updated 7 years ago
• RLOpensource / Relational_Deep_Reinforcement_Learning
  ☆49Updated 6 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆52Updated 7 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago
• junhyukoh / self-imitation-learning
  ICML 2018 Self-Imitation Learning
  ☆278Updated 5 years ago
• younggyoseo / pytorch-acer
  PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
  ☆17Updated 4 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago
• reinforcement-learning-kr / rl-montezuma
  The state-of-art deep rl algorithms for Montezuma's revenge
  ☆27Updated 6 years ago
• yilunc2020 / Attention-DQN
  Deep Recurrent Attention Reinforcement Learning in Atari
  ☆85Updated 6 years ago
• TianhongDai / distributed-ppo
  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).
  ☆62Updated 6 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• tegg89 / magnet
  MAGNet: Multi-agents control using Graph Neural Networks
  ☆132Updated 6 years ago
• liampetti / A3C-LSTM
  A3C-LSTM algorithm tested on CartPole OpenAI Gym environment
  ☆48Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• jeanharb / option_critic
  Implementation of the Option-Critic Architecture on the Atari (ALE) environment
  ☆177Updated 7 years ago
• msinto93 / D4PG
  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…
  ☆125Updated 5 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 2 years ago