Alternatives and similar repositories for gym-super-mario-bros

Users that are interested in gym-super-mario-bros are comparing it to the libraries listed below

• Kautenja / nes-py
  A Python3 NES emulator and OpenAI Gym interface
  ☆273Updated 2 years ago
• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆712Updated last year
• Farama-Foundation / Miniworld
  Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
  ☆751Updated 3 weeks ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆260Updated 3 years ago
• ppaquette / gym-super-mario
  Gym - 32 levels of original Super Mario Bros
  ☆291Updated 7 years ago
• Farama-Foundation / Minigrid
  Simple and easily configurable grid world environments for reinforcement learning
  ☆2,384Updated 3 weeks ago
• MattChanTK / gym-maze
  A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
  ☆375Updated 2 years ago
• Shmuma / ptan
  PyTorch Agent Net: reinforcement learning toolkit for pytorch
  ☆551Updated last year
• hardmaru / slimevolleygym
  A simple OpenAI Gym environment for single and multi-agent reinforcement learning
  ☆772Updated 2 years ago
• oxwhirl / smac
  SMAC: The StarCraft Multi-Agent Challenge
  ☆1,306Updated last year
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,193Updated 3 years ago
• google-deepmind / dqn_zoo
  DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…
  ☆491Updated last year
• rail-berkeley / softlearning
  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…
  ☆1,391Updated 2 years ago
• medipixel / rl_algorithms
  Structural implementation of RL key algorithms
  ☆516Updated 2 years ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆177Updated 3 years ago
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆626Updated last year
• mpSchrader / gym-sokoban
  Sokoban environment for OpenAI Gym
  ☆390Updated 2 years ago
• yfeng997 / MadMario
  Interactive tutorial to build a learning Mario, for first-time RL learners
  ☆241Updated 2 years ago
• openai / random-network-distillation
  Code for the paper "Exploration by Random Network Distillation"
  ☆927Updated 5 years ago
• TianhongDai / reinforcement-learning-algorithms
  This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…
  ☆691Updated 3 weeks ago
• Bigpig4396 / Multi-Agent-Reinforcement-Learning-Environment
  Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
  ☆739Updated 3 years ago
• openai / atari-py
  A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
  ☆388Updated 2 years ago
• rlcode / per
  Prioritized Experience Replay (PER) implementation in PyTorch
  ☆357Updated 5 years ago
• danijar / dreamerv2
  Mastering Atari with Discrete World Models
  ☆993Updated 2 years ago
• haarnoja / sac
  Soft Actor-Critic
  ☆1,195Updated 2 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆579Updated 3 years ago
• Stable-Baselines-Team / stable-baselines
  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆305Updated 2 years ago
• araffin / rl-tutorial-jnrr19
  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
  ☆721Updated 2 years ago
• Kaixhin / Rainbow
  Rainbow: Combining Improvements in Deep Reinforcement Learning
  ☆1,659Updated 4 years ago
• clvrai / awesome-rl-envs
  ☆1,307Updated last year