Alternatives and similar repositories for rllab

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

• tensorforce / tensorforce
  Tensorforce: a TensorFlow library for applied reinforcement learning
  ☆3,315Updated last year
• awjuliani / DeepRL-Agents
  A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
  ☆2,270Updated 6 years ago
• geek-ai / MAgent
  A Platform for Many-Agent Reinforcement Learning
  ☆1,756Updated 3 years ago
• junhyukoh / deep-reinforcement-learning-papers
  A list of recent papers regarding deep reinforcement learning
  ☆2,201Updated 9 years ago
• openai / evolution-strategies-starter
  Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
  ☆1,619Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,468Updated 3 years ago
• carpedm20 / deep-rl-tensorflow
  TensorFlow implementation of Deep Reinforcement Learning papers
  ☆1,586Updated 7 years ago
• ShangtongZhang / DeepRL
  Modularized Implementation of Deep RL Algorithms in PyTorch
  ☆3,391Updated last year
• rlworkgroup / garage
  A toolkit for reproducible reinforcement learning research.
  ☆2,064Updated 2 years ago
• devsisters / DQN-tensorflow
  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
  ☆2,570Updated 6 years ago
• berkeleydeeprlcourse / homework
  Assignments for CS294-112.
  ☆1,643Updated 2 years ago
• rlcode / reinforcement-learning
  Minimal and Clean Reinforcement Learning Examples
  ☆3,612Updated 2 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,122Updated 8 years ago
• rail-berkeley / rlkit
  Collection of reinforcement learning algorithms
  ☆2,841Updated last year
• astooke / rlpyt
  Reinforcement Learning in PyTorch
  ☆2,270Updated 5 years ago
• openai / roboschool
  DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
  ☆2,165Updated 2 years ago
• google-deepmind / dqn
  Lua/Torch implementation of DQN (Nature, 2015)
  ☆621Updated 8 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 3 years ago
• higgsfield / RL-Adventure
  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
  ☆3,152Updated 4 years ago
• openai / mujoco-py
  MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
  ☆3,099Updated 2 years ago
• tigerneil / awesome-deep-rl
  For deep RL and the future of AI.
  ☆1,500Updated last year
• ikostrikov / pytorch-a2c-ppo-acktr-gail
  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…
  ☆3,868Updated 3 years ago
• hill-a / stable-baselines
  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆4,319Updated 3 years ago
• Farama-Foundation / Arcade-Learning-Environment
  The Arcade Learning Environment (ALE) -- a platform for AI research.
  ☆2,384Updated this week
• ikostrikov / pytorch-a3c
  PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
  ☆1,308Updated 6 years ago
• joschu / modular_rl
  Implementation of TRPO and related algorithms
  ☆643Updated 7 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆972Updated 6 years ago
• chainer / chainerrl
  ChainerRL is a deep reinforcement learning library built on top of Chainer.
  ☆1,203Updated 4 years ago
• keras-rl / keras-rl
  Deep Reinforcement Learning for Keras.
  ☆5,559Updated 2 years ago
• muupan / deep-reinforcement-learning-papers
  A list of papers and resources dedicated to deep reinforcement learning
  ☆835Updated 9 years ago