Synthetic – Page 3

Category: Synthetic

  • continuoussafetygym

    continuoussafetygym

    The Continuous Safety Gym is a suite of environments for safe reinforcement learning.. No. of environments: 53

  • cooking_zoo

    cooking_zoo

    CookingZoo is a customizable cooking simulation environment for testing AI in culinary tasks.. No. of environments: 14

  • csc498

    csc498

    This is a OpenAI gym environment for two links robot arm in 2D based on PyGame.. No. of environments: 2

  • custom_envs

    custom_envs

    A collection of gym default environments implemented with custom reward structures.. No. of environments: 4

  • Cycles

    Cycles

    Simulates agricultural productivity and the water, carbon and nitrogen balance of soil-crop systems subject to different climate, soil and management constraints. No. of environments: 6

  • cymnasium

    cymnasium

    A Gymnasium-based RL environment simulating HTTPS Intrusion Detection to teach threat assessment and alert decision-making.. No. of environments: 1

  • d4rl_atari

    d4rl_atari

    Datasets for Data-Driven Deep Reinforcement Learning with Atari environments.. No. of environments: 17239

  • DACBench

    DACBench

    DACBEnch (as in Dynamic Algorithm Configuration) is a reinforcement learning framework that aims to dynamically optimize hyperparameters during algorithm execution to improve performance across diverse tasks and instances.. No. of environments: 6

  • deeprl-ltl

    deeprl-ltl

    Implements a Reinforcement Learning Task on a custom environment using temporal logic specifications. No. of environments: 1

  • diffuser

    diffuser

    Planning in large domains with continuous diffusion and discrete planners. No. of environments: 7