Alternatives and similar repositories for ppo-pytorch

Users that are interested in ppo-pytorch are comparing it to the libraries listed below

• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆28Updated 6 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• andrewliao11 / pytorch-a3c-mujoco
  Implement A3C for Mujoco gym envs
  ☆72Updated 7 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 7 years ago
• tpbarron / pytorch-ppo
  Proximal Policy Optimization in PyTorch
  ☆39Updated 7 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆52Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• ermongroup / InfoGAIL
  Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
  ☆42Updated 7 years ago
• wizdom13 / RND-Pytorch
  Random Network Distillation(RND) algo in Pytorch
  ☆49Updated 6 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆96Updated 7 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆95Updated 2 years ago
• jeanharb / a2oc_delib
  A3C style Option-Critic with deliberation cost
  ☆39Updated 7 years ago
• russellmendonca / GMPS
  Guided-Meta Policy Search
  ☆39Updated 2 years ago
• hu-po / pySACQ
  PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)
  ☆37Updated 4 years ago
• seungjaeryanlee / rl-exploration
  Reinforcement Learning papers on exploration methods.
  ☆19Updated 4 years ago
• maximilianigl / DVRL
  Deep Variational Reinforcement Learning
  ☆136Updated 3 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆82Updated 6 years ago
• mengf1 / DHER
  DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)
  ☆66Updated 5 years ago
• itaicaspi / mgail
  Model-Based Generative Adversarial Imitation Learning
  ☆89Updated 4 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• HumanCompatibleAI / atari-irl
  ☆29Updated 6 years ago
• victorcampos7 / edl
  Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
  ☆36Updated 5 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• dai-dao / PPO-Pytorch
  Implementation of PPO in Pytorch
  ☆41Updated 7 years ago
• ajgupta93 / d4pg-pytorch
  In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.
  ☆19Updated 7 years ago