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