12 datasets found

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

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

The dataset used in this paper is the PyBullet Environments.

The dataset used for training the dm_control environment.

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...

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...

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

The Ant, Walker2d, and Hopper datasets are used for testing the proposed method.

The Walker2d, Hopper, and Ant datasets are used for testing the proposed method.

The HalfCheetah, Walker2d, and Ant datasets are used for testing the proposed method.

The Hopper, Walker2d, and Ant datasets are used for testing the proposed method.

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...