Alternatives and similar repositories for acktr

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

• gd-zhang / ACKTR
  Actor Critic using Kronecker-Factored Trust Region
  ☆19Updated 6 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• ShibiHe / Q-Optimality-Tightening
  This is my implementation of the Optimality Tightening
  ☆37Updated 8 years ago
• mcmachado / options
  ☆43Updated 8 years ago
• flowersteam / Unsupervised_Goal_Space_Learning
  Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"
  ☆21Updated 7 years ago
• Breakend / OptionGAN
  Code accompanying the OptionGAN paper.
  ☆44Updated 6 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• idlrl / flare
  RL framework for embodied agents based on PyTorch
  ☆12Updated 6 years ago
• sudeepraja / Model-Free-Episodic-Control
  Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460
  ☆55Updated 8 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• Feryal / craft-env
  ☆44Updated 6 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• clvrai / FeatureControlHRL-Tensorflow
  A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆32Updated 7 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 6 years ago
• chrodan / tdlearn
  some common TD Learning algorithms
  ☆67Updated 5 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆23Updated 5 years ago
• jachiam / surprise
  Surprise-based intrinsic motivation for deep reinforcement learning
  ☆20Updated 8 years ago
• jjkke88 / RL_toolbox
  reinfore learning tool box, contains trpo, a3c algorithm for continous action space
  ☆42Updated 7 years ago
• quanvuong / Supervised_Policy_Update
  Code to reproduce Supervised Policy Update (ICLR 2019)
  ☆17Updated 2 years ago
• DartML / PPO-Stein-Control-Variate
  Proximal Policy Optimization with Stein Control Variates:
  ☆33Updated 7 years ago
• sygi / vic-tensorflow
  Implementation of Variational Intrinsic Control in tensorflow
  ☆11Updated 8 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆34Updated 2 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• ShibiHe / Model-Free-Episodic-Control
  This is the implementation of paper Model Free Episodic Control
  ☆35Updated 5 years ago
• david-abel / rl_info_theory
  A collection of code investigating the use of information theory for abstractions in RL
  ☆16Updated 6 years ago
• miyosuda / episodic_control
  Model-Free Episodic Control
  ☆14Updated 8 years ago
• neka-nat / async-rl-noreward
  Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction
  ☆8Updated 7 years ago
• Riashat / Bayesian-Exploration-Deep-RL
  Bayesian Uncertainty Exploration in Deep Reinforcement Learning
  ☆18Updated 7 years ago