Alternatives and similar repositories for openai_lab:

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

• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆966Updated 6 years ago
• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆403Updated 8 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆697Updated 5 years ago
• awjuliani / oreilly-rl-tutorial
  Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conferen…
  ☆274Updated 5 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆553Updated 6 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 6 years ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆251Updated 5 years ago
• kvfrans / openai-cartpole
  random search, hill climbing, policy gradient
  ☆140Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆221Updated 7 years ago
• andrewliao11 / Deep-Reinforcement-Learning-Survey
  My Exploration on Deep Reinforcement Learning Survey
  ☆432Updated 7 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆590Updated 6 years ago
• awjuliani / dfp
  Reinforcement Learning with Goals
  ☆170Updated 5 years ago
• yandexdataschool / AgentNet
  Deep Reinforcement Learning library for humans
  ☆300Updated 7 years ago
• zhongwen / predictron
  Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
  ☆290Updated 8 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆702Updated 6 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆484Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 5 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆162Updated 7 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆611Updated last year
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆402Updated 8 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆342Updated 6 years ago
• 0bserver07 / Study-Reinforcement-Learning
  Studying Reinforcement Learning Guide
  ☆151Updated 7 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,107Updated 7 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆484Updated 10 months ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,012Updated 6 years ago
• rmst / ddpg
  TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
  ☆212Updated 7 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆266Updated 5 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
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆158Updated 7 years ago