4 datasets found

Formats: JSON Tags: Sparse Rewards

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  • HalfCheetahDir

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

  • MuJoCo AntGoal

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

  • ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

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

  • 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.
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