5 datasets found

Tags: reinforcement learning

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  • Atari Environment

    The dataset used in this work is the Atari environment in OpenAI Gym, created by the Arcade Learning Environment (ALE).

  • DMLab-30

    DMLab-30 is a benchmark for multitask reinforcement learning in partially observable environments.

  • ProcGen

    The dataset used in the paper is a procedurally generated environment called ProcGen.

  • TorchCraft

    The TorchCraft dataset is a collection of games played by a reinforcement learning agent, which can be used to train and evaluate reinforcement learning algorithms.

  • Atari 2600

    The dataset used in the paper is the Atari 2600 dataset, which consists of 49 games. The dataset is used to test the Successor Uncertainties algorithm.