Category: Synthetic

  • saver

    saver

    Quantile Regression Reinforcement Learning with State Aligned Vector Rewards. No. of environments: 3

  • shimmy

    shimmy

    A variety of reinforcement learning environments, including robotics simulations, soccer, navigation puzzles, and classic ATARI games.. No. of environments: 76

  • simplegrid-gym

    simplegrid-gym

    SimpleGrid is customizable grid game environment for Gymnasium, designed for quickly testing and prototyping Reinforcement Learning algorithms.. No. of environments: 102

  • slime_environments

    slime_environments

    Slime Volleyball is a gym environment for single and multi-agent reinforcement learning, where agents compete to score by getting a ball to land on their opponent’s side.. No. of environments: 14

  • snake_gym

    snake_gym

    Snake-Gym is a customizable RL environment for the classic Snake game, supporting dynamic grid sizes and multiple observation formats for Gymnasium-compatible agents.. No. of environments: 102

  • sneks

    sneks

    Sneks openAI gym environment. No. of environments: 42

  • spwk_agtech

    spwk_agtech

    Spacewalk Agtech Engineer Task. No. of environments: 1

  • stable-baselines3

    stable-baselines3

    Stable-Baselines3 (SB3) is a comprehensive library providing reliable PyTorch implementations of state-of-the-art reinforcement learning algorithms.. No. of environments: 952

  • tinycarlo

    tinycarlo

    OpenAI Gym for simulating a 2D TinyCar. No. of environments: 1

  • uniform-coins-environment

    uniform-coins-environment

    environment that has a model to support classic search as well as being used for reinforcement learning. No. of environments: 1