Category: Synthetic

  • gym_ressim

    gym_ressim

    A gym resgistry for a 2D reservoir simulation environment to solve optimal well control problem using reinforcement learning algorithms.. No. of environments: 1

  • gym_reversi

    gym_reversi

    openAI-gym Reversi/Othello. No. of environments: 1

  • gym_rlcourse

    gym_rlcourse

    Environments used in the RL-course at Uppsala University. No. of environments: 6

  • gym_routing

    gym_routing

    Gym Routing offers Gymnasium environments for training reinforcement learning agents on routing problems.. No. of environments: 2

  • gym_rubik

    gym_rubik

    The Gym-Rubik is an implementation of the OpenAI Gym environment interface. No. of environments: 1

  • gym_screen_task

    gym_screen_task

    Gym environment for training agents in GUI interactions using mouse and keyboard.. No. of environments: 3

  • gym_short_corridor

    gym_short_corridor

    This is an environment built out of the Example 13.1 “Short corridor with switched actions” from Reinforcement Learning book, 2nd ed. 2018.. No. of environments: 1

  • gym_sokoban_wrapped

    gym_sokoban_wrapped

    gym-sokoban is an environment collection that simulate the classic Sokoban puzzle game, designed for reinforcement learning, challenging the irreversible mistake problem.. No. of environments: 129

  • gym_spaceinvaders

    gym_spaceinvaders

    Space Invaders is a Japanese shoot’em up arcade game. No. of environments: 1

  • gym_splt

    gym_splt

    Gym env for the SPL-T game. No. of environments: 1