Alternatives and similar repositories for deep-q-learning

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

• alok / rl_implementations
  Reinforcement learning algorithm implementations and ML experimentation workspace
  ☆43Updated 6 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆203Updated 6 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆166Updated 7 years ago
• keon / policy-gradient
  Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
  ☆160Updated 5 years ago
• chrischute / pbt
  Population-Based Training in Python
  ☆18Updated 6 years ago
• ArvindSoma / a3c-super-mario-pytorch
  Reinforcement Learning for Super Mario Bros using A3C on GPU
  ☆37Updated 7 years ago
• lnpalmer / PPO
  PyTorch implementation of Proximal Policy Optimization
  ☆53Updated 7 years ago
• flyyufelix / C51-DDQN-Keras
  C51-DDQN in Keras
  ☆126Updated 7 years ago
• mrahtz / easy-tf-log
  Easy TensorFlow logging for quick prototypes
  ☆110Updated 3 years ago
• deepsense-ai / Distributed-BA3C
  ☆56Updated 2 years ago
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆162Updated 7 years ago
• openai / EPG
  Code for the paper "Evolved Policy Gradients"
  ☆250Updated 6 years ago
• brendanator / atari-rl
  Atari - Deep Reinforcement Learning algorithms in TensorFlow
  ☆138Updated last year
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆116Updated 5 years ago
• DanielTakeshi / rl_algorithms
  I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…
  ☆51Updated 5 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• rgilman33 / baselines-A2C
  [DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation
  ☆53Updated 5 years ago
• flyyufelix / Direct-Future-Prediction-Keras
  Direct Future Prediction (DFP ) in Keras
  ☆109Updated 7 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆35Updated 7 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆80Updated 3 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 7 years ago
• Officium / RL-Experiments
  High-quality implementations of deep reinforcement learning algorithms for experiments
  ☆51Updated 11 months ago
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 7 years ago
• yrlu / reinforcement_learning
  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
  ☆151Updated 2 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆169Updated 7 years ago
• facebookresearch / minirts
  We release dataset collected for our research, code that implement neural network models described in the paper, and scripts to reproduce…
  ☆162Updated 3 years ago
• eyalzk / sketch_rnn_keras
  Keras implementation of Sketch RNN
  ☆145Updated 6 years ago
• sadeqa / Super-Mario-Bros-RL
  This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…
  ☆79Updated 6 years ago
• jcwleo / mario_rl
  ☆69Updated 6 years ago