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Showing 1 to 5 of 5 for “"Atari 2600"”.

  1. Single-player to Two-player Knowledge Transfer in Atari 2600 Games

    … examines the proposed idea in ten different Atari 2600 environments using the Atari 2600 RAM as the input state. The advantages of using transfer learning from a single-player training process over training in a two-player setting from scratch are discussed, and the results are demonstrated …

    calgary Repository record for Single-player to Two-player Knowledge Transfer in Atari 2600 Games (opens in a new tab)

  2. Addressing stale gradients in asynchronous federated deep reinforcement learning

    … results from applying these methods to two Atari-2600 games demonstrate a relative speedup of up to 95\% compared to plain A3C in large and unstable federations.

    iastate Repository record for Addressing stale gradients in asynchronous federated deep reinforcement learning (opens in a new tab)

  3. Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents

    … results obtained with OpenAI Gym library-based Atari 2600 video gaming environment demonstrate that the proposed hybrid multi-task learning model is successful in addressing key challenges associated with the performance optimization of deep reinforcement learning agents.

    uoit Repository record for Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents (opens in a new tab)

  4. Universal artificial intelligence: evaluation and benchmarks

    … Learning Environment (ALE) that integrates Atari 2600 games to test domain independent artificial agents. We will suggest practical ways to incorporate these features into the ALE platform to manage limitations of computing resources used to generate required environments for agents. The …

    mit Repository record for Universal artificial intelligence: evaluation and benchmarks (opens in a new tab)

  5. Enhancing Molecular Docking with Deep Q-Networks

    … a jugar a videojuegos de la consola de Atari 2600. En segundo lugar, se utiliza una implementación, denominada QN-Docking, basada en un vector de características sencillo para la representación molecular. Dicha implementación es testada en un entorno con un receptor relativamente pequeño …

    murcia-diss Repository record for Enhancing Molecular Docking with Deep Q-Networks (opens in a new tab)