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MuJoCo Continuous Control Tasks
The dataset used in the paper is a collection of data from the MuJoCo continuous control tasks. -
Hopper and Half-Cheetah tasks
The dataset used in the paper is a continuous control tasks, specifically the Hopper and Half-Cheetah tasks. -
LocoMujoco
Motion-capture datasets for robotic continuous control tasks. -
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. -
Deterministic Policy Gradients With General State Transitions
The authors used the ComplexPoint-v0, Pendulum-v0, LunarLanderContinuous-v2, Swimmer-v2, HalfCheetah-v2, HumanoidStandup-v2, Humanoid-v2 datasets for experiments. -
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...
