4 datasets found

The dataset used in the paper is the HalfCheetahDir environment, which is a variant of the HalfCheetah environment that uses sparse rewards.

The dataset used in the paper is the MuJoCo AntGoal environment, which is a variant of the AntGoal environment that uses sparse rewards.

Modern multi-agent reinforcement learning frameworks rely on centralized training and reward shaping to perform well. However, centralized training and dense rewards are not...

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.