Alternatives and similar repositories for cem

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

• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• nhynes / abc
  SeqGAN but with more bells and whistles
  ☆24Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 8 years ago
• shagunsodhani / memory-augmented-self-play
  PyTorch implementation of Memory Augmented Self-Play
  ☆52Updated 5 years ago
• flowersteam / geppg
  ☆36Updated 7 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated last year
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 7 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆67Updated 7 years ago
• hiwonjoon / NEC
  Implementation of Neural Episodic Control in Tensorflow
  ☆27Updated 6 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆168Updated 7 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆155Updated 8 years ago
• iosband / TabulaRL
  ☆66Updated last year
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• facebookresearch / slbo
  Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  ☆93Updated 6 years ago
• Kaixhin / Dist-A3C
  Distributed A3C
  ☆34Updated 8 years ago
• reinforcement-learning-kr / reinforcement-learning-pytorch
  Minimal and Clean Reinforcement Learning Examples in PyTorch
  ☆42Updated 7 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 7 years ago
• ethanluoyc / e2c-pytorch
  E2C implementation in PyTorch
  ☆43Updated 8 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 7 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 6 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆35Updated 8 years ago
• cxxgtxy / POP3D
  Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
  ☆44Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆118Updated 6 years ago
• junhyukoh / value-prediction-network
  NIPS 2017 Value Prediction Network
  ☆167Updated 8 years ago
• andrewliao11 / pytorch-a3c-mujoco
  Implement A3C for Mujoco gym envs
  ☆73Updated 8 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago