5 datasets found

Groups: Robotics Tags: Reinforcement learning

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  • Robot Grasping Dataset

    The dataset used in this paper is a robot grasping dataset, where the robot learns to grasp objects in a simulated environment.

  • Mujoco control tasks

    The authors used the Mujoco control tasks, including Ant-v2, HalfCheetah-v2, Hopper-v2, and Walker2d-v2.

  • Continual World

    The Continual World benchmark consists of ten realistic robotic manipulation tasks.

  • Minigrid

    Minigrid environment, a grid-based problem in reinforcement 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...
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