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RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom

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RBDoom

MIT License

RBDoom is a RAINBOW [1] based agent for playing the first-person shooter game Doom using the VizDoom platform. RAINBOW cmobines various improvements in Deep-Q Learning and demonstrated better overall performance. It is made up of seven components:

  1. DQN [2]
  2. Double DQN [3]
  3. Prioritised Experience Replay [4]
  4. Dueling Network Architecture [5]
  5. Multi-step Bootstrap Returns [6]
  6. Distributional RL [7]
  7. Noisy Nets [8]

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Acknowledgements

References

[1] Rainbow: Combining Improvements in Deep Reinforcement Learning
[2] Playing Atari with Deep Reinforcement Learning
[3] Deep Reinforcement Learning with Double Q-learning
[4] Prioritized Experience Replay
[5] Dueling Network Architectures for Deep Reinforcement Learning
[6] Reinforcement Learning: An Introduction
[7] A Distributional Perspective on Reinforcement Learning
[8] Noisy Networks for Exploration

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