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We use the Rainbow DQN model to build agents that play Ms-Pacman, Atlantis and Demon Attack. We make modifications to the model that allow much faster convergence on Ms-Pacman with respect to Deepmind's original paper and obtain comparable performance.

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base_dqn.py

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play_atlantis.py

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play_demon.py

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play_dqn.py

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rainbow_dqn.py

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rainbow_dqn_plain_buffer.py

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Rainbow DQN on Atari games

We use the Rainbow DQN model to build agents that play Ms-Pacman, Atlantis and Demon Attack. We make modifications to the model that allow much faster convergence on Ms-Pacman with respect to Deepmind's original paper and obtain comparable performance.

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Thanks to Max Lapan for his useful starting codebase.

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We use the Rainbow DQN model to build agents that play Ms-Pacman, Atlantis and Demon Attack. We make modifications to the model that allow much faster convergence on Ms-Pacman with respect to Deepmind's original paper and obtain comparable performance.

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python reinforcement-learning pytorch rainbow-dqn ms-pacman

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