Alternatives and similar repositories for DistributedES:

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

• flowersteam / geppg
  ☆35Updated 6 years ago
• kimhc6028 / pytorch-noreward-rl
  pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆79Updated 6 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆151Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆166Updated 7 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 8 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆50Updated 4 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆94Updated 6 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• florensacc / snn4hrl
  Stochastic Neural Networks for Hierarchical Reinforcement Learning
  ☆96Updated 6 years ago
• dai-dao / PPO-Pytorch
  Implementation of PPO in Pytorch
  ☆41Updated 7 years ago
• cxxgtxy / POP3D
  Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
  ☆44Updated 6 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 5 years ago
• tpbarron / pytorch-ppo
  Proximal Policy Optimization in PyTorch
  ☆39Updated 7 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• jingweiz / pytorch-distributed
  Ape-X DQN & DDPG with pytorch & tensorboard
  ☆103Updated 5 years ago
• rlbayes / rllabplusplus
  ☆159Updated 7 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 7 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆51Updated 7 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 6 years ago
• facebookresearch / M3RL
  Mind-aware Multi-agent Management Reinforcement Learning
  ☆82Updated 6 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 6 years ago
• geek-ai / 1m-agents
  A platform of grid world that supports up to 1 million reinforcement-learning agents.
  ☆69Updated 7 years ago
• onlytailei / Value-Iteration-Networks-PyTorch
  PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)
  ☆80Updated 8 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 6 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 7 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• alexis-jacq / Pytorch-DPPO
  Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
  ☆181Updated 7 years ago