7 datasets found

Tags: Atari 2600

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  • Atari 2600 Environment

    Four DRL agents were trained on the games MsPacman (simplified to Pac-Man), Space Invaders, Frostbite, and Breakout using the Deep Q-Network (DQN) implementation of the OpenAI...

  • Atari 2600 games dataset

    The dataset used in this paper is the Atari 2600 games dataset, which consists of 50 Atari 2600 games.

  • Atari 2600 games

    The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to...

  • Atari 2600 domain

    The Atari 2600 domain dataset, used for training and testing reinforcement learning algorithms.

  • Atari 2600 game dataset

    The dataset used in the paper is the Atari 2600 game dataset, which consists of 4 consecutive 80x80 gray-scale game frames as the input to the network.

  • 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.

  • Deep Attention Recurrent Q-Network

    The Deep Attention Recurrent Q-Network (DARQN) algorithm was tested on several popular Atari 2600 games: Breakout, Seaquest, Space Invaders, Tutankham, and Gopher.
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