Alternatives and similar repositories for async_deep_reinforce

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

• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆553Updated 6 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆214Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆225Updated 7 years ago
• tokb23 / dqn
  DQN implementation in Keras + TensorFlow + OpenAI Gym
  ☆158Updated 7 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆632Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆403Updated 8 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆700Updated 6 years ago
• carpedm20 / NAF-tensorflow
  "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
  ☆192Updated 6 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆263Updated 7 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆176Updated 7 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 6 years ago
• yao62995 / A3C
  Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.
  ☆120Updated 8 years ago
• stevenpjg / ddpg-aigym
  Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…
  ☆274Updated 7 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆92Updated 7 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• Alfredvc / paac
  Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
  ☆202Updated 8 years ago
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆158Updated 7 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆395Updated 6 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• yanpanlau / DDPG-Keras-Torcs
  Using Keras and Deep Deterministic Policy Gradient to play TORCS
  ☆724Updated 7 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆832Updated 8 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆712Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆361Updated 5 years ago
• avivt / VIN
  Value Iteration Networks
  ☆289Updated 8 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆344Updated 6 years ago