12 datasets found

Formats: JSON Tags: Control

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  • MuJoCo environments

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used MuJoCo environments from the OpenAI gym.

  • Inverted Pendulum

    The dataset used in the paper is an Inverted Pendulum dataset, which is a standard benchmark system in control and reinforcement learning.

  • Humanoid Walk

    The Humanoid Walk dataset is a collection of images of a humanoid robot performing various tasks.

  • PyBullet Environments

    The dataset used in this paper is the PyBullet Environments.

  • DeepMind Control Suite and PyBullet Environments

    The dataset used in this paper is the DeepMind Control Suite and PyBullet Environments.

  • Mountain Car

    The dataset used in the paper is a reinforcement learning dataset, specifically a Markov Decision Process (MDP) with a finite set of states and actions.

  • Cart-Pole

    The Cart-Pole environment is a classic control problem in reinforcement learning, where an agent learns to balance a pole using a cart.

  • CartPole, Pendulum, and LunarLander

    The dataset used in the paper is a set of environments for reinforcement learning, including CartPole, Pendulum, and LunarLander.

  • dm_control

    The dataset used for training the dm_control environment.

  • Pendulum and Reacher

    The Pendulum swing-up task, the agent tries to keep the pendulum upright and balanced under the constraint of keeping away from unsafe angles. In the Reacher task, the robotic...

  • MuJoCo

    The dataset used in the paper is a collection of simulated environments, including blockworld, canada, cart, cartpole, cartpoleBalance, cartpoleParallelDouble,...

  • CartPole

    The CartPole problem is a classic control problem in robotics and control theory. It is a simple, continuous control problem where a pole is attached to a mass on a cart, and...
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