7 datasets found

The Crippled-Ant Environment is a high-dimensional continuous control environment, where a quadruped aims to attain the highest possible velocity in a limited amount of time.

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

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

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.

The authors used the ComplexPoint-v0, Pendulum-v0, LunarLanderContinuous-v2, Swimmer-v2, HalfCheetah-v2, HumanoidStandup-v2, Humanoid-v2 datasets for experiments.

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