Rainbow DQN
E200562
UNEXPLORED
Rainbow DQN is a deep reinforcement learning algorithm that combines several key extensions to the original DQN—such as double Q-learning, prioritized replay, dueling networks, multi-step learning, distributional RL, and noisy nets—into a single, more performant agent.
Referenced by (1)
| Subject (surface form when different) | Predicate |
|---|---|
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Atari deep Q-network
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inspiredAlgorithm |