Alternatives and similar repositories for Arnold

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

• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆616Updated 2 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…
  ☆662Updated 6 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆560Updated 4 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆821Updated 2 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,009Updated 6 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆774Updated last year
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆822Updated 4 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆969Updated 6 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆289Updated 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,450Updated 2 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆909Updated 4 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 5 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆372Updated 5 years ago
• crowdAI / marLo
  Multi Agent Reinforcement Learning using MalmÖ
  ☆261Updated 5 years ago
• xiaowei-hu / pysc2-agents
  This is a simple implementation of DeepMind's PySC2 RL agents.
  ☆273Updated 7 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆327Updated 7 years ago
• pekaalto / sc2aibot
  Implementing reinforcement-learning algorithms for pysc2 -environment
  ☆89Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• wuhuikai / MSC
  MSC: A Dataset for Macro-Management in StarCraft II
  ☆143Updated 3 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆170Updated 7 years ago
• openai / atari-reset
  Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
  ☆203Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,111Updated 7 years ago
• M-J-Murray / MAMEToolkit
  A Python toolkit used to train reinforcement learning algorithms against arcade games
  ☆653Updated 5 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆401Updated last year
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• llSourcell / A-Guide-to-DeepMinds-StarCraft-AI-Environment
  This is the code for "A Guide to DeepMind's StarCraft AI Environment" by Siraj Raval on Youtube
  ☆211Updated 4 years ago
• simonmeister / pysc2-rl-agents
  StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
  ☆137Updated 6 years ago
• TorchCraft / StarData
  Starcraft AI Research Dataset
  ☆573Updated 4 years ago