15 datasets found

Formats: JSON Tags: MuJoCo

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  • MuJoCo Environment

    The dataset used in the paper is a MuJoCo environment, with 13-states and 4-control inputs, nonlinear dynamics with polynomial dependency in the control inputs.

  • MuJoCo Continuous Control Tasks

    The dataset used in the paper is a collection of data from the MuJoCo continuous control tasks.

  • MuJoCo Physics simulator

    The dataset used in the paper is a continuous control tasks, specifically the Hopper and Half-Cheetah tasks.

  • 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.

  • MuJoCo AntGoal

    The dataset used in the paper is the MuJoCo AntGoal environment, which is a variant of the AntGoal environment that uses sparse rewards.

  • MuJoCo Environments with Noise Augmentation

    The dataset used in the paper is a set of MuJoCo environments with noise augmentation.

  • Real-World RL Challenge

    The dataset used in the paper is the Real-World RL Challenge dataset. It contains a set of continuous control tasks.

  • DeepMind Control Suite and Real-World RL Experiments

    The dataset used in the paper is the DeepMind Control Suite and Real-World RL Experiments. It contains a set of continuous control tasks based on MuJoCo.

  • PyBullet

    PyBullet is a python module for physics simulation for games, robotics and machine learning.

  • DeepMind Control Suite

    The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test...

  • D4RL Benchmark

    D4RL benchmark dataset, which consists of four offline logging datasets, collected by different one or mixed behavior policies.

  • D4RL

    D4RL datasets for maze2d-umaze, maze2d-medium, maze2d-large, antmaze-umaze, antmaze-medium, antmaze-large, parking, soccer-sim, and soccer-physical tasks

  • MuJoCo Benchmark

    The dataset used in the paper is the MuJoCo benchmark, which is a collection of robotic manipulation tasks.

  • MuJoCo

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

  • MuJoCo Soccer Environment

    A multi-agent soccer environment with continuous simulated physics.
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