Alternatives and similar repositories for deep-rl-tensorflow

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

• devsisters / DQN-tensorflow
  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
  ☆2,569Updated 6 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,202Updated 9 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆836Updated 9 years ago
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,264Updated 6 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆701Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,121Updated 8 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆970Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 7 years ago
• rll / rllab
  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
  ☆3,027Updated 2 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 8 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,103Updated 7 years ago
• siemanko / tensorflow-deepq
  A deep Q learning demonstration using Google Tensorflow
  ☆1,165Updated 8 years ago
• spragunr / deep_q_rl
  Theano-based implementation of Deep Q-learning
  ☆1,092Updated 8 years ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,010Updated 7 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,614Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆658Updated 5 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,467Updated 2 years ago
• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,313Updated last year
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆641Updated 7 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,603Updated 2 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆726Updated 7 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆327Updated 7 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆552Updated 6 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 7 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,637Updated 2 years ago
• keon / deep-q-learning
  Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
  ☆1,311Updated 4 years ago
• andrewliao11 / Deep-Reinforcement-Learning-Survey
  My Exploration on Deep Reinforcement Learning Survey
  ☆433Updated 7 years ago
• nikitasrivatsan / DeepLearningVideoGames
  ☆1,094Updated 2 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆618Updated 8 years ago
• carpedm20 / NTM-tensorflow
  "Neural Turing Machine" in Tensorflow
  ☆1,045Updated 8 years ago