Alternatives and similar repositories for openai_lab

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

• muupan / async-rl
  Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
  ☆406Updated 8 years ago
• hi-abhi / tensorflow-value-iteration-networks
  TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
  ☆553Updated 6 years ago
• miyosuda / async_deep_reinforce
  Asynchronous Methods for Deep Reinforcement Learning
  ☆591Updated 6 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…
  ☆276Updated 5 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 6 years ago
• VinF / deer
  DEEp Reinforcement learning framework
  ☆486Updated 2 weeks ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• awjuliani / dfp
  Reinforcement Learning with Goals
  ☆170Updated 5 years ago
• tambetm / simple_dqn
  Simple deep Q-learning agent.
  ☆701Updated 6 years ago
• sherjilozair / dqn
  Basic DQN implementation
  ☆226Updated 7 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆264Updated 7 years ago
• zhongwen / predictron
  Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"
  ☆290Updated 8 years ago
• yukezhu / tensorflow-reinforce
  Implementations of Reinforcement Learning Models in Tensorflow
  ☆487Updated 7 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆299Updated 6 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• gtoubassi / dqn-atari
  A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
  ☆91Updated 8 years ago
• yandexdataschool / AgentNet
  Deep Reinforcement Learning library for humans
  ☆299Updated 7 years ago
• openai / vime
  Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"
  ☆345Updated 6 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• kvfrans / openai-cartpole
  random search, hill climbing, policy gradient
  ☆145Updated 6 years ago
• coreylynch / async-rl
  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
  ☆1,011Updated 7 years ago
• gliese581gg / DQN_tensorflow
  Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
  ☆164Updated 8 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆615Updated 2 years ago
• floodsung / DQN-Atari-Tensorflow
  Simplest Version of playing Atari with Deep Q Learning in Tensorflow
  ☆158Updated 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
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,099Updated 7 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 years ago
• bbitmaster / ale_python_interface
  A Python Interface for the Arcade Learning Environment (Shared Object)
  ☆128Updated 4 years ago
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆663Updated 5 years ago
• rlpy / rlpy
  RLPy Reinforcement Learning Framework
  ☆255Updated 5 years ago