Alternatives and similar repositories for deep-reinforcement-learning

Users that are interested in deep-reinforcement-learning are comparing it to the libraries listed below

• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆34Updated 8 years ago
• AutumnWu / Streamlined-Off-Policy-Learning
  ICRL 2020
  ☆19Updated 5 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• wulfebw / hierarchical_rl
  hierarchical deep reinforcement learning algorithms
  ☆41Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 7 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆47Updated 4 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 7 years ago
• Alfo5123 / Robust-Multitask-RL
  Machine Learning Course Project Skoltech 2018
  ☆108Updated 6 years ago
• senya-ashukha / quantile-regression-dqn-pytorch
  A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
  ☆97Updated 4 years ago
• TianhongDai / self-imitation-learning-pytorch
  This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.
  ☆66Updated 6 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆96Updated 3 years ago
• aravindr93 / robustRL
  Robust policy search algorithms which train on model ensembles
  ☆30Updated 8 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• krasheninnikov / max-causal-ent-irl
  Maximum Causal Entropy Inverse Reinforcement Learning
  ☆48Updated 6 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 11 months ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆51Updated 4 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• gsastry / human-rl
  Code for human intervention reinforcement learning
  ☆34Updated 7 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 4 years ago
• ruizhaogit / mep
  Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)
  ☆24Updated 6 years ago
• EndingCredits / Neural-Episodic-Control
  Implementation of Deepmind's Neural Episodic Control
  ☆58Updated 7 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆117Updated 5 years ago
• 0b01 / CommNet
  PyTorch implementation of CommNet
  ☆36Updated 7 years ago
• xinleipan / gym-gridworld
  Simple grid-world environment compatible with OpenAI-gym
  ☆50Updated 5 years ago
• AdeelMufti / RL-RND
  Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation
  ☆31Updated 6 years ago
• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 5 years ago
• wenh123 / NoisyNet-DQN
  Tensorflow Implementation for "Noisy network for exploration"
  ☆32Updated 8 years ago
• rmst / rtrl
  PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
  ☆74Updated 5 years ago
• nosyndicate / pytorchrl
  Deep Reinforcement Learning algorithms implemented in PyTorch
  ☆49Updated 7 years ago