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Mujoco Benchmarking Continuous Control Tasks
The dataset used in the paper is the Mujoco benchmarking continuous control tasks. -
DDPG from Demonstrations
The dataset used in the paper is a set of demonstrations for a robot insertion task, which is a continuous control problem. The demonstrations are collected by a robot... -
LocoMujoco
Motion-capture datasets for robotic continuous control tasks. -
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... -
Roboschool
The dataset used in the ACE algorithm for continuous control problems. -
OpenAI Gym
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.