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"
  ☆619Updated 2 years ago
• google-research / batch-ppo
  Efficient Batched Reinforcement Learning in TensorFlow
  ☆969Updated 6 years ago
• inoryy / reaver
  Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
  ☆561Updated 4 years ago
• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,011Updated 6 years ago
• openai / large-scale-curiosity
  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
  ☆826Updated 4 years ago
• miyosuda / unreal
  Reinforcement learning with unsupervised auxiliary tasks
  ☆421Updated 6 years ago
• ml-jku / baselines-rudder
  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package
  ☆267Updated 5 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 6 years ago
• pathak22 / noreward-rl
  [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
  ☆1,458Updated 2 years ago
• openai / multiagent-competition
  Code for the paper "Emergent Complexity via Multi-agent Competition"
  ☆824Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆913Updated 5 years ago
• MultiAgentLearning / playground
  PlayGround: AI Research into Multi-Agent Learning.
  ☆772Updated last year
• Breakend / gym-extensions
  This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…
  ☆218Updated 6 years ago
• williamFalcon / DeepRLHacks
  Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
  ☆1,118Updated 8 years ago
• hengyuan-hu / rainbow
  A PyTorch implementation of Rainbow DQN agent
  ☆170Updated 7 years ago
• pat-coady / trpo
  Trust Region Policy Optimization with TensorFlow and OpenAI Gym
  ☆360Updated 5 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆290Updated 6 years ago
• openai / coinrun
  Code for the paper "Quantifying Transfer in Reinforcement Learning"
  ☆403Updated 2 years ago
• AppliedDataSciencePartners / WorldModels
  An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf
  ☆282Updated 2 years ago
• kengz / openai_lab
  An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
  ☆327Updated 7 years ago
• NVlabs / GA3C
  Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
  ☆657Updated 5 years ago
• dgriff777 / rl_a3c_pytorch
  A3C LSTM Atari with Pytorch plus A3G design
  ☆571Updated 2 years ago
• steveKapturowski / tensorflow-rl
  Implementations of deep RL papers and random experimentation
  ☆177Updated 7 years ago
• awjuliani / Meta-RL
  Implementation of Meta-RL A3C algorithm
  ☆404Updated 8 years ago
• openai / imitation
  Code for the paper "Generative Adversarial Imitation Learning"
  ☆723Updated 6 years ago
• Kaixhin / Atari
  Persistent advantage learning dueling double DQN for the Arcade Learning Environment
  ☆263Updated 7 years ago
• jingweiz / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom
  ☆802Updated 5 years ago
• pemami4911 / deep-rl
  Collection of Deep Reinforcement Learning algorithms
  ☆300Updated 6 years ago
• navneet-nmk / pytorch-rl
  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
  ☆451Updated 6 years ago
• openai / retro-baselines
  Publicly releasable baselines for the Retro contest
  ☆129Updated 6 years ago