Alternatives and similar repositories for DDQN:

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

• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 8 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• pkumusic / E-DRL
  Exploration Strategies for Deep Reinforcement Learning
  ☆39Updated 6 years ago
• hiwonjoon / tf-a3c-gpu
  Tensorflow implementation of A3C algorithm
  ☆47Updated 7 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆150Updated last year
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆92Updated 7 years ago
• Kaixhin / NoisyNet-A3C
  Noisy Networks for Exploration
  ☆186Updated 7 years ago
• Nat-D / FeatureControlHRL
  Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
  ☆80Updated 7 years ago
• Zeta36 / Asynchronous-Methods-for-Deep-Reinforcement-Learning
  Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain …
  ☆84Updated 9 years ago
• openai / baselines-results
  ☆117Updated 4 years ago
• andreimuntean / A3C
  Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
  ☆66Updated 7 years ago
• mhauskn / dqn
  An implementation of Deep Q-Network using Caffe
  ☆70Updated 9 years ago
• Grzego / async-rl
  Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Thea…
  ☆44Updated 7 years ago
• akolishchak / doom-net-pytorch
  Reinforcement learning models in ViZDoom environment
  ☆133Updated 3 years ago
• itaicaspi / keras-dqn-doom
  Keras implementation of DQN on ViZDoom environment
  ☆53Updated 8 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• krfricke / rl-benchmark
  Reinforcement learning benchmarking.
  ☆40Updated 6 years ago
• Damcy / prioritized-experience-replay
  implement of prioritized experience replay
  ☆160Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆176Updated 6 years ago
• ShangtongZhang / DistributedES
  Distributed implementation of popular evolutionary methods
  ☆64Updated 7 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• 5vision / DARQN
  Deep Attention Recurrent Q-Network
  ☆115Updated 9 years ago
• MatheusMRFM / A3C-LSTM-with-Tensorflow
  An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.
  ☆29Updated 7 years ago
• Kaixhin / ACER
  Actor-critic with experience replay
  ☆252Updated 2 years ago
• mihahauke / VDAIC2017
  Helpful files for Visual Doom AI Competition 2017
  ☆44Updated 6 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• eyounx / RetroCodes
  Codes of our team for the OpenAI Retro Contest of reinforcement learning
  ☆99Updated 6 years ago
• jsikyoon / a3c-distributed_tensorflow
  Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning
  ☆29Updated 7 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆170Updated 6 years ago
• takoika / PrioritizedExperienceReplay
  Yet another prioritized experience replay buffer implementation.
  ☆48Updated 2 years ago