Alternatives and similar repositories for deep-reinforcement-learning_DDQN_PPO_HER:

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

• cjm715 / mgym
  A collection of multi-agent reinforcement learning OpenAI gym environments
  ☆45Updated 4 years ago
• louaaron / GAN-Q-Learning
  Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
  ☆45Updated 3 years ago
• xlnwel / model-free-algorithms
  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
  ☆62Updated 3 years ago
• kazizzad / BDQN-MxNet-Gluon
  Efficient Exploration through Bayesian Deep Q-Networks
  ☆37Updated 6 years ago
• samlanka / DDPG-PyTorch
  Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite
  ☆25Updated 6 years ago
• jvmncs / ParamNoise
  A comparison of parameter space noise methods for exploration in deep reinforcement learning
  ☆27Updated 5 years ago
• jeappen / gym-grid
  A simple Gridworld environment for Open AI gym
  ☆24Updated 6 years ago
• lnpalmer / A2C
  PyTorch implementation of Advantage Actor-Critic (A2C)
  ☆44Updated 7 years ago
• kushagra06 / SAC
  Pytorch implementation of Soft Actor-Critic
  ☆18Updated 4 years ago
• dnddnjs / feudal-montezuma
  Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
  ☆93Updated 2 years ago
• cxxgtxy / deeprl-baselines
  Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…
  ☆36Updated 6 years ago
• brett-daley / dqn-lambda
  NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.
  ☆24Updated 7 months ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 4 months ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆92Updated 6 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆50Updated 7 years ago
• liampetti / A3C-LSTM
  A3C-LSTM algorithm tested on CartPole OpenAI Gym environment
  ☆48Updated 6 years ago
• davidsandberg / rl_ssms
  State Space Models for Reinforcement Learning in Tensorflow
  ☆19Updated 5 years ago
• veronicachelu / meta-learning
  Meta Reinforcement Learning Experiments
  ☆33Updated 7 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• gabrieledcjr / DeepRL
  ☆18Updated 5 years ago
• tdavchev / option-critic
  A Tensorflow implementation of the Option-Critic Architecture
  ☆71Updated 7 years ago
• flowersteam / geppg
  ☆35Updated 6 years ago
• ASzot / ppo-pytorch
  Proximal policy optimization in PyTorch. Easy to read and understand.
  ☆48Updated 4 years ago
• ScottJordan / EvaluationOfRLAlgs
  This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms
  ☆27Updated 3 years ago
• wulfebw / muzero
  A python implemenation of tabular MuZero for educational purposes
  ☆21Updated 5 years ago
• AndreaTirinzoni / iw-transfer-rl
  Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).
  ☆16Updated 6 years ago
• gopala-kr / DRL-Agents
  research and implementations of Deep RL agents and their applications
  ☆48Updated 2 weeks ago
• wotmd5731 / dqn
  pytorch, noisy_distributional_double_dueling_PER_RNN_CNN...CartPole-v1 , Acrobot-v1, MountainCar-v0
  ☆14Updated 6 years ago