Alternatives and similar repositories for DQN-tensorflow

Users that are interested in DQN-tensorflow are comparing it to the libraries listed below

• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,585Updated 7 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,253Updated 6 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,195Updated 9 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆2,981Updated 2 years ago
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,306Updated 4 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆833Updated 9 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,550Updated 2 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆701Updated 6 years ago
• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,311Updated 11 months ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,746Updated 2 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆723Updated 7 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,442Updated 2 years ago
• keras-rl / keras-rl
  Deep Reinforcement Learning for Keras.
  ☆5,555Updated last year
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,112Updated 7 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,593Updated 5 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆606Updated 8 years ago
• siemanko / tensorflow-deepq
  A deep Q learning demonstration using Google Tensorflow
  ☆1,167Updated 8 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,099Updated 7 years ago
• floodsung / DDPG
  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
  ☆563Updated 3 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,317Updated last year
• kuz / DeepMind-Atari-Deep-Q-Learner
  The original code from the DeepMind article + my tweaks
  ☆1,825Updated 7 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 6 years ago
• spragunr / deep_q_rl
  Theano-based implementation of Deep Q-learning
  ☆1,090Updated 8 years ago
• IntelLabs / coach
  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
  ☆2,348Updated 2 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,599Updated 2 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,634Updated 3 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆393Updated 6 years ago
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,281Updated 5 years ago