Enhancing Reinforcement Learning Explainability with Temporal Reward Decomposition

Retrieved on: 2024-08-18 21:28:10

Tags for this article:

Reinforcement learning

Artificial intelligence

Addiction

Behaviorism

Machine learning algorithms

Q-learning

Intelligent agent

Explainable Artificial Intelligence

Reinforcement

Reward system

Delayed gratification

Markov decision process

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Enhancing Reinforcement Learning Explainability with Temporal Reward Decomposition. View article details on hiswai:

Excerpt

Deep Q-learning is then discussed, highlighting its use of neural networks to approximate Q-values in complex environments. QDagger is introduced to ...

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