Alternatives and similar repositories for Arnold

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

• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆560Updated 4 years ago
• openai / mlsh
  Code for the paper "Meta-Learning Shared Hierarchies"
  ☆616Updated 2 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆821Updated 4 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,007Updated 6 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆820Updated 2 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆774Updated last year
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆968Updated 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
• google-deepmind / pycolab
  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…
  ☆662Updated 5 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,448Updated 2 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆656Updated 5 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆326Updated 7 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆908Updated 4 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆289Updated 6 years ago
• xiaowei-hu / pysc2-agents
  This is a simple implementation of DeepMind's PySC2 RL agents.
  ☆273Updated 7 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆420Updated 6 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆571Updated 2 years ago
• openai / gym-soccer
  ☆303Updated 2 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆801Updated 5 years ago
• jaromiru / AI-blog
  Accompanying repository for Let's make a DQN / A3C series.
  ☆394Updated 6 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆446Updated 6 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆281Updated 2 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 5 years ago
• SKTBrain / awesome-starcraftAI
  A curated list of resources dedicated to StarCraft AI.
  ☆627Updated 3 years ago
• ugo-nama-kun / gym_torcs
  ☆413Updated 7 years ago
• TorchCraft / TorchCraftAI
  A platform that lets you build agents to learn to play StarCraft: Brood War.
  ☆653Updated 3 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆372Updated 5 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• openai / universe-starter-agent
  A starter agent that can solve a number of universe environments.
  ☆1,098Updated 7 years ago